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Senior Stochastic Economic Scenarios Expert - Group Life Insurance - English Speaking
Job content
As a key member of the Group Life Actuarial Methodology and Development team, you will be responsible for leading the development of the stochastic Economic Scenarios Generator (ESG) to meet increased regulatory requirements under Swiss Solvency Test (SST) and Solvency II as well as for its ongoing development for use in MCEV internal capital model calculations. In this strategic role, you will have the chance to gain detailed first-hand insights into advanced ESG mathematical models, their implementation and their importance for valuing life insurance liabilities and economic value from a truly global perspective.
As a Senior Stochastic Economic Scenarios Expert your main responsibilities will include:
Lead the SST internal model development for the ESG and provide technical support for discussion with FINMA and other relevant stakeholders.
Understand and document highly technical details on mathematical theory, calibration approaches and numerical implementation of various stochastic models.
Analyse ESG tools, documentation and academic literature behind to retrieve necessary information which might not be readily available.
Develop ad-hoc analyses to support this with numerical evidence.
Validate adequacy of existing ESG methodology, parameterization, implementation and processes for Company-specific life insurance liability valuations under SST and Solvency II as well as for other market consistent economic valuation frameworks.
Identify gaps, assess anticipated materiality, suggest and implement remedial action.
Supporting overall ESG developments, quantitative testing and documentation on an ongoing basis for all Company market consistent valuations.
Managing relations with Company ESG tool provider, Company's business units and other internal stakeholders including the Independent Validation team.
Keeping abreast of latest industry developments and best practice on ESG in order to identify and implement future developments across the whole Group.
Communicate complex technical topics across the whole organization to both technical and non-technical audiences (eg senior management).
Requirements
5+ years of experience with ESG or other related topics, ideally working for an insurance Group or major insurance or financial consultancies.
Masters degree in maths/physics/finance/economics or similar. A PhD and/or actuarial qualification is a distinct advantage.
Comprehensive understanding of the mathematical theory behind a wide range of stochastic financial models and of their numerical implementation, calibration and usage (eg LMM+, TVDV, 2FVasiceck, etc.).
Detailed understanding of the interrelations between ESG and the market consistent valuation of life insurance liabilities.
Previous practical experience with Moody's Analytics (formerly Barrie & Hibbert's) ESG tools.
Previous experience supporting internal model approval processes in respect of ESG or similar purposes under SST or Solvency II is a distinctive advantage.
Expert in Excel and VBA. Other programming or statistical software are a plus as well as a strong capability of investigating new IT solutions to better meet business needs.
Fluent English and strong communication skills, both written and oral is a must.
Strong analytical skills, attention to the details, accuracy and commitment to quality.
Strong sense of responsibility, project management skills and adherence to deadlines.
Independence and ability to develop innovative solutions with a problem-solving and solution-oriented attitude.
Previous experience in managing a team of 1-2 people is a plus.
Skin & Hair Research Solutions
Centre for Nanotechnology
Heisenbergstraße 11
48149 Münster
Germany
Monasterium Laboratory is a new dermatological research start-up specialized in preclinical skin, hair, pigmentation, neuroendocrinology, immunology, and wound healing research in the human system. We are seeking a team-orientated, highly motivated and enthusiastic Project Officer to join our team. For any details regarding the company, range of research topics covered, assays in use, and international academic research network, please visit the website www.monasteriumlab.de
Main Duties and Responsibilities:
1. The main responsibility of this post is to provide scientific and technical support to complete scientific and contract research projects under the direction of the Chief Scientific Officer (CSO). This includes experimental project design, carrying out experiments and quantitative analyses, preparing progress and milestones reports, and presenting research results in internal and external meetings.
2. The tasks required to be undertaken include:
• Organize the work load for each assigned project in order to meet deadlines
• Provide project updates to Chief Project Officer and Chief Scientific Officer
• Supervise and train technicians, guest scientists and student assistants
• Establish new techniques and perform lab work
• Represent the company at conferences and other external meetings
• Discuss scientific results with other company employees
• Professional and responsible data documentation and archiving
• Perform statistical analysis and presentation of data with Excel and GraphPad Prism
• Prepare milestone reports and manuscripts
• Participating in scientific lab meetings and the organization of workshops
• Proposing new innovative projects and/or techniques
Eligibility
• Completed training as an MD or PhD
• Excellent knowledge of written and spoken English (Company language: English)
• Substantial experience in biological research laboratories
• Publication of at least one peer-reviewed first author paper in an international life sciences journal
• Priority will be given to applicants with documented experience in skin/hair research
Requirements
• Ability to work independently and as part of a team
• Excellent organizational and problem-solving skills
• Ability to prioritize work in order to meet tight deadlines
• Good coordination, time management, data collection and analysis
• Flexibility
Type of contract: Temporary with possibility of extension.
Salary: A competitive salary will be offered and full training will be provided.
Start Date: As soon as possible
Application: For informal enquiries please contact Dr. Marta Bertolini, [email protected]
A complete application will include a statement of interest, CV, list of publications, names of 3 referees or 3 recommendation letters, and list of experimental methods you have mastered. Please submit applications to Dr. Marta Bertolini ([email protected]) and Ms. Anja Borrosch ([email protected]) with Project Officer Application in the subject line. We thank all applicants, but only those selected for interview will be contacted.
Clinical Trial Manager wanted for one of our Basel based clients in the pharmaceutical sector.
Your experience/skills:
- Degree or equivalent education in life science healthcare, PharmD, PhD is preferred
- 3+ years of technical and operational experience in planning, executing, reporting and publishing clinical studies in a pharmaceutical company or contract research organization
- Extensive working experience in leading clinical trial, from feasibility to CSR
- Working experience in developing effective relationships with key investigators
- Excellent knowledge of good clinical practice, clinical trial design, statistics, regulatory processes, and global clinical development process
- Strong ability to work independently, lead a multidisciplinary trial team in a complex Matrix environment, knowledge of the Oncology and/or Hematology is of advantage
- Languages: fluent English both written and spoken
Your tasks:
- Supporting the recording of clinical protocols and related documents in collaboration with the franchise medical directors and MSE besides managing clinical trial protocol development process
- Taking part in the development of effective working relationship with key investigators in assigned therapy area to optimize scientific quality/innovation of clinical study design, execution, reporting and publication
- Leading and supervising the global multidisciplinary CTT to ensure all trial deliverables are met according to timelines, budget, quality standards and operational procedures
- Contributing to the clinical trial data ongoing medical/scientific review, final analysis and interpretation as well as supporting the COM to develop clinical outsourcing specifications to facilitate bid templates and selection of CROs
- Predicting trial resource needs along with assisting COM in the development, management and tracking of trial budget, working closely with the appropriate groups in Oncology
- Supporting the development of clinical sections of regulatory documents like Investigators' Brochures, briefing books, safety updates, IND/NDA submission documents and responses to health authorities' questions
Start: 01/2017
Duration: 12MM++
Location: Basel, Switzerland
Ref.Nr.: BH 9883
Does that sound interesting? Does that sound like a challenging opportunity to you? Then take the next step and send us your CV as a Word Document and a daytime contact telephone number.
Due to work permit restrictions we can unfortunately only consider applications from EU or Swiss citizens as well as current work-permit holders for Switzerland.
Going the extra mile
New to Switzerland? In case of successful placement, we support you with:
- All administrative questions
- Finding an apartment
- Health - and social insurance
- Work permit and much more
Senior Catastrophe Researcher - Statistics and Risk - Insurance - Zurich based - Perm
Job content
We are looking for an enthusiastic cat researcher with a deep knowledge of at least one natural or man-made catastrophe field and/or who has a strong background in statistics and risk assessment. The optimal candidate is eager to extend his/her work to different cat topics and is keen to make a positive impact on the overall business.
As a Senior Catastrophe Researcher your main responsibilities will involve:
Leading natural and man-made catastrophe risk assessment related research and development projects for the Global Cat Management function and translate the research insights into positive impacts for the business
Maintaining up to date knowledge of all Cat related research and ensure reporting on relevant emerging information to the Cat management community and other stakeholders
Working with appropriate Cat modelling experts to develop our Company View of risk for currently modelled and non-modelled perils and lines of business, including post event analysis
Developing and maintaining a large network of contacts within the academic, reinsurance, model vendor and broker communities in order to keep informed of emerging areas of research and ensure findings are translated into business insight for Company
Requirements
Advanced university degree (Master's or PhD) in a quantitative subject or an actuarial qualification
Typically six or more years of related industry or academic experience
Knowledge in catastrophe modelling, including strong statistical and analytical skills. Expert ability to translate academic research into applicable information leading to improved Cat risk assessment and management
Work experience of a high level language like Matlab, R or Python ideally from statistical analysis and modelling of large data sets
Technical skills in programming in a higher programming language (C, C++, C#, Java, Python, Fortran) and Database skills are desirable
Expert ability to communicate complex results in a clear way to non-practitioners
Ability to work within a team physically located in different geographies
Highly self-reliant and committed personality with strong interpersonal, communication and networking skills
3D Printing Specialist
An innovative technology development consultancy within the Cambridge technology cluster are looking to expand! Their Print Technology Division combines deep expertise in optics, microfluidics and printhead physics with a broad digital printing systems integration capability. They invent and deliver print technology and printing systems across a range of applications, and see massive potential in next-generation 3D printing technology; their work is funded by corporate and startup customers who share that view.
I am looking for future leaders: technologists who are equally at home doing cutting edge technology development in labs, or enthusing our customers and uncovering new opportunities
* A PhD or first/upper-second class BSc in a related scientific or engineering discipline
* A proven ability to analyse, deconstruct and solve complex problems, and multi-faceted design challenges
* Experience in the design and development of digital printing, microfluidics or additive manufacturing technology
* An opportunity spotter: curious, imaginative, and commercially astute
* Already successfully leading a team, or ready to do so
* Strong communication and influencing skills, ideally proven in a consulting or customer-facing role
* Ambitious and self-starting, with a desire to combine both technical and commercial insight to create business impact
In return you will receive a highly competitive salary and benefits package, excellent career progression and training as well as relocation assistance if required. You can expect huge day-to-day variety in your work, and will be involved in multiple projects from different industry sectors. Career development is accelerated through a process tailored to the individual, but which typically includes a blend of on-the-job mentoring, bespoke internal courses, and externally provided training.
•Full-time at 37.5 hours per week (1.0 FTE)
•3 year fixed term position
The Human Interface Technology Laboratory NZ (HIT Lab NZ) at the University of Canterbury is offering a three year postdoctoral fellowship to a motivated individual with a research background in Virtual Reality to work with a highly skilled team of outstanding experts on an externally funded research project.
As the successful applicant, you will undertake research in the design, implementation, evaluation, and deployment of multisensory feedback techniques in immersive Virtual Reality (VR) systems.
You will require a Ph.D. in Computer Science or a related field.
The HIT Lab NZ is a world leading research facility focused on the human-centred design of technology. Our mission is to support and empower people through the study, invention, development and dissemination of technologies and processes that solve real-world problems and have positive impact.
For more information on the HIT Lab NZ, visit: http://www.hitlabnz.org.
The University of Canterbury is committed to promoting a world-class learning environment through research and teaching excellence, and has a vision statement of "People Prepared to Make a Difference". You will have the opportunity to work alongside members of a diverse academic community and enrich your own professional and personal development.
For information about the range of benefits in joining UC please visit us online at: http://www.canterbury.ac.nz/joinus.
The closing date for this position is: Friday, 9 December 2016.
Applications for this position should include a cover letter, resume and any additional attachments combined into one document and submitted online. Providing a URL to a web page containing supporting materials, such as publications is encouraged.
Please ensure your application is uploaded as a single pdf file and that the file name is your surname, followed by your initial.
For further information about the position, please contact Ken Beckman, Director of the HIT Lab NZ: [email protected]
Internal candidates should apply via the Careers option in Employee Self-Service: https://ucpeople.canterbury.ac.nz.
The University of Canterbury is an EEO employer and actively seeks to meet its obligation under the Treaty of Waitangi.
QUANTITATIVE ANALYST (C++ OR PYTHON IN BANKING, Up to £130k)
QUANTITATIVE ANALYST JOB WITHIN BANKING IN LONDON
This job is for a leading tier 1 bank based in London and they are searching for a Quantitative Analyst. This job opportunity would be suitable for a Quantitative Analyst looking for a major step up in a banking organisation in London. This well renowned bank requires a Quantitative Analyst who will research and develop credit portfolio models and conduct ad hoc portfolio analysis for the job in London.
As a Quantitative Analyst you will be responsible for:
- the development of new models
- challenge existing models
- you will need to liaise with stakeholders in the business as well as interacting with peers and senior management to influence the direct ion of projects
- You will need to have solid analytical skills in order to propose innovative solutions.
It is essential that you have;
- A Master's degree or PHD in economics, maths, physics, engineering or any other related discipline
- Good R, Python or C++ Programming skills
- Great communication skills (written and oral)
- Ideally worked on a Quantitative team before
To apply for this Quantitative Analyst job within banking in London, please send your CV to Jennifer Nwosu at (see below). Please note that while we are grateful for all job applications, only the most suitable will be contacted. Thank you for your interest in Nicoll Curtin.
Neurodegenerative processes such as Alzheimer’s disease or multiple sclerosis cover a broad range of distinct conditions. The accurate diagnosis and treatment of these pathologies requires the development of accurate computational models of the complex pathophysiology of neurodegenerative processes. To this purpose, the development of computational and statistical quantitative models of disease progression is currently a primary research focus of many academic and industrial actors.
The project aims at combining statistical and image-processing techniques to model the pathological progression of neurological disorders in the brain of patients affected by neurodegenerative diseases. These models may combine several brain imaging modalities, and potentially investigate the complex interaction between brain changes and other clinical indices. Particular focus of the project will be in the modelling and simulation of clinically plausible evolution of biomarkers, represented by clinical and imaging data, by combining statistical/machine learning techniques with biomechanically/biophysically inspired dynamical models of brain changes. The candidate will rely on a number of methods developed within CMIC, and by the collaborators. The candidate will extend the current approaches in order to improve the modelling and prediction of neurodegeneration from clinical data, and to translate those discoveries into clinical practice.
Due to the challenging setting of the project, characterised by large-dimensional data and relatively low sample sizes, as well as high data heterogeneity, the candidate will need to demonstrate sufficient expertise into the development of robust and reliable methods which can be translated into the clinic. Knowledge in statistics and optimization techniques is a fundamental requirement, as well as programming proficiency.
This post is funded for 3 years in the first instance.
The successful candidate will have a Honours Degree (2:1 or above) or equivalent in Mathematics, Engineering, Physics or Computer Science and/or a PhD in Computer Science, Machine Learning, Biomedical Engineering, Physics, Applied Mathematics or in a relevant related area.
It is essential that applicants have experience in computer programming using C/C++, Python and Matlab. Experience in preparing statistical information, numerical optimization, be competent in medical image analysis and computer vision and have a demonstrable record of publications in peer-reviewed conference proceedings and scientific journals.
For further details about the vacancy and how to apply online please go to http://www.ucl.ac.uk/hr/jobs/ and search on Reference Number 1601235. If you have any further queries about the post please email Miss N Shah: [email protected]
Closing Date: 30 November 2016.
Latest time for the submission of applications: 17.00.
Interview Date: TBC.
UCL Taking Action for Equality
Post: Junior Research Fellowships
Department: Institute of Advanced Study
Contract Type: Full Time/Fixed Term (average 2 years)
Grade: Grade 7 (£32,004 - £36,001)
Opening Date: 1st November 2016
Closing Date: 2nd December 2016 (11.30pm)
The Junior Research Fellowship (JRF) scheme is designed to attract the most talented researchers in Europe and beyond, and build international networks of scholars with a common passion for the deepest theoretical questions and most pressing practical problems facing humanity.
The JRF scheme is aimed at researchers with significant post-doctoral experience, but recent doctorands of exceptional ability and researchers who have followed non-traditional academic career paths (such as in public corporations, NGOs or industry) are also encouraged to apply. JRFs will pursue new research ideas of their own design, undertaken in collaboration with academic researchers at Durham University.
To be eligible, in line with the terms of funding set by Marie Curie, "researchers must not have resided or carried out their main activity (work, studies, etc) in the country of their host organisation for more than 12 months in the 3 years immediately prior to the reference date. Compulsory national service and/or short stays such as holidays are not taken into account". The reference date is 1 July 2017. There are no nationality restrictions, but the award of a Fellowship will be conditional on a visa and work permit being secured, if required, from the UK Visas & Immigration.
For further details about this scheme and how to apply please consult all of the documents including the 'JRF Further Particulars' document found at: https://www.dur.ac.uk/ias/diferens/junior/
Reference Number: 003607
Post: Addison Wheeler Fellowships
Department: Institute of Advanced Study
Contract Type: Full Time/Fixed Term (3 years)
Grade: Grade 7 (£32,004 - £36,001)
Opening Date: 1st November 2016
Closing Date: 2nd December 2016 (11.30pm)
The University seeks to fill up to 3 Addison Wheeler Fellowships. Outstanding researchers who are in the early stages of expanding their independent research profile may apply for one of these prestigious Fellowships, which carry no commitment to either teaching or administration. The Fellowships are available for up to three years from 1 October 2017.
Addison Wheeler Fellowships are open to researchers in any area of the sciences, social sciences or humanities. Previous Addison Wheeler Fellows have undertaken research in areas such as Anthropology, Archaeology, Biological and Biomedical Sciences, Chemistry, Geography, History, Mathematics, Modern Languages, Philosophy, Physics, and Psychology. It is, however, anticipated that
(a) applicants will be scholars of high calibre, who have completed their PhD at the time of application and are at an early stage in their career;
(b) the research to be undertaken by the Fellow will complement and strengthen the research activities of the School / Department they will join;
(c) the research will address the terms and conditions of the bequest upon which the Fellowships were established, specifically that the work will make a significant contribution to knowledge, enabling us to make better use of our life here on Earth.
There are no residency or nationality restrictions.
Addison Wheeler Fellows will be employed in the University on a non-renewable fixed-term contract. They will be issued with a full employment contract by Durham University, will have full social security coverage, will be eligible to join the University Superannuation Scheme and will have access to the UK health services through National Insurance payments. They will have full access to the University library and IT resources, professional skills training, occupational health services, careers advice and specialist research facilities relevant to their project. Addison Wheeler Fellows will be appointed at a point on the Grade 7 scale appropriate to their experience. Starting salaries will be in the range £32,004 – £36,001 p.a.
In addition to salary, Fellows have their agreed research costs met from the Addison Wheeler bequest. These may include library, laboratory and fieldwork costs, reasonable expenses for travel both in the UK and abroad, and conference attendance.
Full details can be found at: https://www.dur.ac.uk/ias/addisonwheelerfellowships/
Secondary Pharmacologist
Location: Cambridge
Duration: 6 month contract
Remuneration: Competitive
Seeking a talented in vitro scientist for a 6-month temporary contract to join the Secondary Pharmacology team in the Discovery Safety Department of the Drug Safety & Metabolism function. The key aim of the Secondary Pharmacology team is to enable project teams in the discovery phase, to detect and design out undesirable off-target pharmacological interactions in order to avoid potentially harmful side effects.
As a secondary Pharmacologist you will be accountable for designing and interpreting outsourced in vitro pharmacological profiling studies and able to connect with project team scientists to influence drug design and decisions in the discovery phase. In addition, bringing expertise in pharmacological principles, you will work with project teams to understand the molecular mechanisms driving in vivo pre-clinical and clinical effects, contributing to the risk assessment for patients and project progression.
This is an opportunity for a highly motivated scientist to work in a vibrant group at the leading edge of their field to support drug safety assessment, a critical component of the drug discovery and development process. The successful individual will participate in or lead new aspects of in vitro pharmacological profiling as part of on-going strategic development of selectivity screening. Understanding the translation of this in vitro data to pre-clinical and clinical effects is important and will direct the future strategy. This is a non-lab based role.
Secondary Pharmacologist responsibilities include:
- Design and interpret in vitro pharmacological profiling data to influence project decision-making
- Work in close collaboration with Discovery Safety Specialists, to set and answer critical project safety questions
- Liaise with the Enabling Services Out-sourcing group to deliver outsourced in vitro pharmacological profiling studies to quality, time and cost
- Develop a broad understanding of the molecular mechanisms behind drug effects in vivo with the aim of increasing our understanding of the translation of in vitro and deliver solutions to project issues
- Recommend, gain commitment, initiate, lead and champion new innovations within the in vitro pharmacological profiling and Discovery Safety Discipline
- Deliver high quality study reports and contributions to documentation for Regulatory Submission
- Participate in and contribute to Global Discovery Safety project reviews
- Maintain and develop strong vendor relationships
Education and Experience
- A PhD (or equivalent) in a relevant scientific discipline (for example, pharmacology, biology, biochemistry, physiology) with an excellent track-record in driving innovative science.
- Previous technical experience of in vitro pharmacological or biochemical assay development and screening (eg radioligand binding, enzyme activity and functional cell-based systems).
- Experience of working in drug projects and a good understanding of the Drug Discovery and Development process is a benefit but not essential.
- Knowledge of small molecule drug discovery and analytical molecular pharmacology skills.
- Experience of integrative pharmacology/physiology in the drug discovery and development context would also be of benefit.
- Scientific excellence, outstanding communication, collaboration and influencing skills.
Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Summary
This is a successful and fast-growing IT analytics organisation headquartered in Dublin with customers worldwide. The company is continuing to expand rapidly, with offices opening in the UK in 2017. Join the team of highly qualified technical experts who innovate and have a range of backgrounds in Computer and Data Science.
Responsibilities
- Use advanced data mining, statistical analysis, machine-learning and visualization techniques to create solutions to challenging real-world problems
- Work with customer-facing teams to understand and meet the needs of the end clients
- Collaborate with product development teams and contribute to ongoing product design and innovation
- Work with diverse data sets, identify and develop valuable new sources of data and collaborate with product teams to ensure successful integration
- Use the latest cluster-based technologies to implement Real Time solutions that scale to massive data sets.
Requirements
- PhD in computer science or related discipline.
- Strong background in designing and implementing successful data analysis solutions
- Advanced data mining and machine-learning techniques, and experience of applying these techniques to practical real-world problems
- Familiarity with tools and techniques for statistical analysis, data cleansing and visualization
- Expert use of Hadoop, Spark, Scala, Python or R
- Experience of working with Big Data and cluster-based processing and storage technologies
The business itself focuses on using big data analytics and social graph theories to capitalize on human relationships and to predict and understand human behavior in ways that benefit their clients. So, this role is really at the heart of their business!
You will be replacing a senior consultant - they want to bring this role in-house.
Apply today to be a part of an exciting, fast-paced organization in the center of some of the latest technologies!
Required:
- 3+ years of non-academic data science experience
- Software engineering background (Java preferred)
- Strong foundation and expertise in at least two of the following: predictive modelling, statistical learning/inference, survey and experiment design and analysis, independent research, or NLP
- Expertise in various statistical packages such as R, STATA, Python, Weka, or Apache Spark
- Experience with SQL queries and data visualization tools
- Familiarity with graph theory/algorithms and numerical optimization
Plusses:
- BA/BS in Economics, Statistics, Mathematics, Computer Science, Machine Learning, or other related technical field
- PhD preferred
We will call qualified candidates after review.
Resumes will NOT be sent to clients without your approval.
REFERRALS WANTED - $1000 REWARD!
Refer a colleague to us, and Precision will give you $1000 if we find a job for that person!
(The fine print: The referred candidate must be previously unknown to us. Start date must be within 6 months of referral.)
Overtime: straight time
To support the strong growth of OM Partners in the forecasting domain, the forecasting development team within OM Partners is looking for a Mathematical developer.
Forecasting is a key element for integrated supply chain planning. Demand can be generated through a collaborative process, best fit statistical forecasting strategies, aggregation and breakdown rules and accuracy measurements. The forecasting module is designed to increase forecast reliability, manages changing demand complexity and provides fast and intelligent solutions.
Responsibilities
As a Mathematical developer you are responsible for the technical analysis and development of cutting edge statistical algorithms and expert systems to predict future demand. You also act as an expert for the users of the statistical forecasting module. Next to this, you will work together with your team members on improvements of the forecasting functionality in OMP+, by performing analyses and developments.
Profile
• You have a Master degree in a Mathematical, Scientific or Engineering field. Having a PhD in one of these fields is a definite advantage.
• You have a solid IT background. Working knowledge of Object Oriented Programming, preferably C++, is an asset. You benefit from having experience with stochastic forecasting techniques and algorithms.
• As you will work on complex mathematical software, you need to be very analytical, creative and have strong mathematical and statistical ability.
• You are fluent in English.
• You are fun to work with and a great team player.
Does this sound like you? Please send your CV and motivation by clicking on the apply button!
Keywords: Mathematics, Developer, C++, Developer, Mathematical Developer, Development.
Expected start date: 05 January 2017
The Brains-On-Board project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1) is a multi-university collaboration aiming to create robotic controllers that will enable autonomous robots with the navigational and learning abilities of a honeybee. It involves five research groups at the University of Sheffield, Queen Mary University, London, and the University of Sussex performing research whose goal is biomimetic robot control and which will combine autonomous robotics, computational neuroscience, accelerated neural network simulations on GPU architectures and insect neuroscience and behaviour. In Sussex we are seeking to employ a team of three research fellows for initially 2 years, with possible extension up to 5 years in the first three of those areas.
RF 3 (ref 1390) in Computer Science, working on GPU accelerated simulation of brain models and brain-inspired robot controllers, building on our GeNN meta-compiler and the SpineCreator/SpineML API to GeNN.
The work will include developing methods for model- and hardware-aware GPU-accelerated simulations methods that will allow us to efficiently simulate both large-scale models in Computational Neuroscience on super-computers and bio-inspired robotic controllers on embedded systems GPU accelerators.
A successful candidate will have proven skills in complex software development with a focus on scientific computing.
All RFs will work together on the project within Sussex and in the larger Brains-On-Board team.
We encourage applicants to apply for multiple positions if they are interested and feel qualified. Please indicate any preferences when applying for multiple positions.
When applying, please fill in the application form and attach a full CV. Use the space for additional information in support of your application to address in detail what you are bringing to the project and why you are the best candidate for the position, making reference to the role specific criteria as outlined in the Job Descriptions. If you are applying for RF 3 (ref 1390), please provide a link to a major piece of software that you have developed or been involved with (e.g. commits to github or equivalent).
For informal enquiries, please contact Prof Thomas Nowotny ([email protected]) or Dr Andy Philippides ([email protected]).
Closing date for applications: 1 December 2016
For full details and how to apply see www.sussex.ac.uk/jobs
The University of Sussex is committed to equality of opportunity
Faculty of Natural Sciences
Department of Life Sciences
Research Associate
Salary: £36,070 - £43,350 per annum (maximum starting salary £36,070)
The Department of Life Sciences was the top ranked university department in the UK for research intensity in Biological Sciences in REF2014 (Times Higher Education), scoring 100% on our environment.
We are seeking to appoint a Research Associate to join a world-leading research group at the intersection of synthetic biology, genomics and the area-wide genetic control of harmful insects. You will join the laboratory of Dr. Nikolai Windbichler, based at the South Kensington Campus of Imperial College London (http://windbichler.openwetware.org/).
Our goal is to develop innovative genetic approaches for the control of vectors of human diseases such as Malaria or Zika or insect agricultural pests threatening food production. Our research involves the use of cutting-edge molecular biology and genetics to understand and ultimately control harmful insects and we often employ Drosophila as a testbed for particular concepts. One current focus is on the engineering of synthetic genetic elements causing sex-ratio distortion or exhibiting “gene drive” and hence allow to control insect populations. This involves the use of CRISPR/Cas9 genome editing for the genetic manipulation of insects such as Anopheles gambiae, Aedes albopictus or Ceratitis capitata. The successful candidate will design synthetic DNA constructs and test their performance in transgenic insects. The role will involve a high degree of teamwork and interdisciplinary research as the project is part of a wider collaborative network.
We seek a highly motivated individual to fill this post, in possession of a PhD (or equivalent) in Biology or a related subject and a high level of expertise and skills in molecular biology and genetics. Knowledge of research methods and statistical procedures, and practical experience within a research environment and/or publication in relevant and refereed journals are essential. Additionally, you must have demonstrable experience of working with fruit flies, mosquitoes or other insects. The ideal candidate will also have experience in CRISPR/Cas9 genome editing as well as familiarity with analysis of genomics data and proven experience of managing technical staff.
Excellent verbal and written communication skills, and the ability to write clearly and succinctly for publication are essential. You must be a highly motivated individual, with the ability to develop and apply new concepts, and a creative and proactive approach to problem solving. You must be able to organise and prioritise your own work with minimal supervision and to independently drive forward your research project.
This is a full-time, fixed-term position available for up to two years.
Any candidate who has not been yet been awarded their PhD, will be appointed as a Research Assistant within the salary range £31,740 - £33,370 per annum.
For informal enquiries please contact Dr Nikolai Windbichler: [email protected]
Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select "Job Search" then enter the job title or vacancy reference number including spaces NS 2016 230 PB into "Keywords"). Please complete and upload an application form as directed.
Should you have any queries regarding the application procedure please contact: DoLS Recruitment via e-mail: [email protected]
Closing date: 13 December 2016
Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.
Data Scientist
Tremendous opportunity in the Vinings area to showcase your innate ability and passion for data with one of the largest, E-commerce companies in the world!
These newly created, direct-hire, consultative positions will join the top-notch, highly-valued Product Team of this enterprise organization. They are targeting motivated, self-starters, who revel in the opportunities to make sense of business data.
This position will impact conversion in Real Time! The ideal candidate will be eager for the opportunity to work with various business units to help define and understand their business problems. Once defined, you will be responsible in translating business problems to the core data scientists to create and design data science solutions.
Your input will be a key factor in deciding business direction and initiatives, and is the foundation of a new practice within this growing organization! Enjoy a casual dress code, flexible work hours, with a well-funded company that has a start-up feel.
Responsibilities:
- Collaborate and liaise between the business units and data scientists.
- Analyze, simplify, and present data and statistical findings to generate insights and recommendations to business units.
- Understand and define business problems to translate into data science solutions.
Required Skills:
- 3+ years of experience with statistics, data models, data mining, and data analysis.
- 1+ year of data science and machine learning experience.
- Excellent verbal and written communication skills to understand, define, and translate business problems to data science solutions.
- Master's in Statistics, Math, Computer Science, Economics/Econometrics, Physics, or related.
Preferred:
- PhD.
*Candidate must CURRENTLY be in the US.
Research Project Title: Big Data and Data Mining.
Project Description:
Currently, one of the phenomena that have a significant impact on the area of data processing technologies are Big Data. According to IDC forecasts, the amount of data in the world is doubling every two years, and by 2020 it will reach 44 Zettabytes, or 44 trillion of Gigabytes. At the same time modern database technology cannot provide the processing of such large amounts of data. According to IDC in 2013 only 22% of the existing data were potentially useful and less than 5% of it were analyzed. By 2020, the proportion of potentially useful data could grow up to 35%, mainly due to data from embedded systems.
The goal of this project is to develop new models, methods and algorithms to efficiently store, process and analyze large volumes of data using exaflop multiprocessor systems. Particular attention will be paid to the following areas:
- columnar data representation;
- in-memory data storage;
- distributed and parallel data processing;
- methods for scientific data processing;
- using many-core processors and cluster computing systems for Big Data processing;
- parallel methods and algorithms of data mining.
This project is implemented within the framework of a large interdisciplinary project “Smart Factory“. The developed methods and algorithms are to be used for the storage, processing and analysis of data from wireless sensors and sensors installed on production lines, industrial products and employees of large-scale industrial factory, which moves to Industry 4.0 concept.
Essential requirements for this position:
- PhD;
- Research field: Software Engineering, Computer Science, Informational Systems and Technologies
- Skills: design and implementation of databases; parallel programming using OpenMP and MPI technologies; data mining; structure and operating principles of relational and post-relational DBMSes; multidimensional data processing.
- English Language Skills: advanced (preparation of scientific publications and talks, communication on professional issues)
- Scientometric indicators: Scopus h-index: 2; Number of publications in the Scopus system in the project field: 4
The post is a full time, fixed term position for two years.
Details about South Ural State University can be found at http://www.susu.ru/en
To apply please prepare application form including following information:
1. Name.
2. Date of birth.
3. Citizenship.
4. Postgraduate degree.
5. Date of PhD.
6. Title of PhD thesis.
7. The University of postgraduate study.
8. The Year of earning postgraduate degree.
9. List of publications for the last 5 years.
10. Copies of the most significant publications for the last 5 years.
11. Current position.
12. Work experience.
13. Level of English.
14. Knowledge of other languages.
15. Names and Contacts of recommenders (at least two persons).
16. E-mail address.
17. Telephone number.
Please also add those documents to your application: Copies of documents oof earning postgraduate degree; Pasport copies; Work record card copy (if you have); Curriculum vitae); Motivation letter).
To apply, and for full job details, please contact to Antonina Ukhova: [email protected], [email protected]
The closing date is 25th December 2016 and interviews are likely to be held after the New Year holiays.
Thermal Engineer - Electronics Cooling - CFD - Research & Development (R&D) Thermal Design
Key words: thermal, engineering, electronics, cooling, CFD (computational fluid dynamics), Ice Pack, Flotherm, Fluent.
Our client; a global leader in ICT and telecoms solutions vending, are seeking to grow a team of the above staff on a long-term contract basis. Permanent appointments may also be considered however the preference is for long-term contractors. The opportunity will be open to all levels of experience including team member, technical team lead, area (multiple areas of expertise within the above heading) specialist (multiple areas of expertise within the above heading), or subject specialist (expert in single area). The team will have between five and ten individuals involved in the active research and development of telecoms & IT equipment.
Essential Skills required (as many from list below):
The client expects the candidate to have more than 5-10 years experiences on thermal design and or electronic cooling have an experience or understanding of CFD programs like: Ice Pack, Flotherm, Fluent. etc, and this have given the candidate a thorough and deep understanding of cooling of electronics, Chipset building knowledge, physic and technology are very essential for this position as well.
The position will also handle cooperation projects with Universities, Academy of Science institutes and Industry Companies, so experience of the academic research environment is appreciated.
We also expect an expertise of conceptual design of equipment and comparison of various thermal solutions in both the cost and the functionality perspective.
The candidate should be able to communicate fluently in English, both verbally and in writing. Knowledge of Russian is also important but not critical.
The client will consider applicants educated to Masters level or above within engineering or equivalent background. PhD is preferred.
Please apply here for a member of the team to give you a call in order to discuss your suitability and the role in more detail.
Junior/Senior Researcher on Large-scale Distributed Systems, Cloud Platforms, Prototyping
eCRM Euro are looking for Junior/Senior Researcher on Large-scale Distributed Systems. This researcher will participate in the rapid prototyping of new features, innovation, and proof of concepts for the Open Telekom Cloud (OTC), the Public Cloud platform from Deutsche Telekom
Responsibilities
Research new approaches to build highly distributed cloud platforms.
Rapid prototyping of innovative features for OTC.
Design of resilience enhancements.
Implement fault-injection and recovery strategies.
Design of resilience enhancements for distributed systems.
Preferred Qualifications
At least 3+ years experience with distributed systems research and development.
Demonstrated ability to solve challenging engineering problems is required.
Experience building highly reliable systems is a big plus.
Experience with cloud platforms is a plus.
Open for worldwide short-term travels.
PhD degree in Computer Science (emphasis on distributed systems).
At eCRM Euro Ltd we specialise in proving a fast accurate service in pairing specific skills to our client requirements. As a trusted partner to large consultancy firms and end-clients spanning various industry sectors from all over Europe, we have a reputable ame and can be associated with offering a first-class service to both clients and candidates we work with.
Research Project Title: Electronic and quantum characteristics of "receptor – ligand" systems and their impact on the biological activity of drugs.
Project Description:
The project is supposed to provide comprehensive studies of the electronic structure of complexes "receptor – ligand" (eg, "an enzyme – drug" or "DNA – drug"), including molecular docking, quantum calculations of the complexes, the binding characteristics of assessment in these systems (2, 3, 4-center integrals of electron density, characteristics of critical points within AIM theory, etc.) and then the assessing the effects of these characteristics on the biological activity of drugs. It is supposed a study of wide range of anti-tumor drugs, antiviral (including anti-HIV), anti-inflammatory, etc. actions.
Molecular docking and X-ray diffraction study of complexes is a rapidly developing area of medicinal chemistry. However, experimental and theoretical studies of such complexes now did not give quantitative characteristics of biological activity due to the incredible complexity, and usually impossibility of quantum calculations of polypeptide systems. Laboratory of computer modeling of drugs has a unique proprietary software to perform these calculations in a realistic time.
Essential requirements for this position:
- PhD in field of Computer chemistry, quantum chemistry;
- skills: computer chemistry, quantum chemistry, molecular docking, QSAR.
- desirable competencies: knowledge of programming language (one or more from the following C/C ++, Fortran, Java, Perl, etc.); regression, polynomial, statistical analysis, non-linear description, cluster analysis, pattern recognition.
- Fluent English; welcome Russian language skills.
- scientometric indicators: h-index: no less than 3; the number of publications in the field of research project: at least 10.
The post is a full time, fixed term position for two years.
Details about South Ural State University can be found at http://www.susu.ru/en
To apply please prepare application form including following information:
1. Name.
2. Date of birth.
3. Citizenship.
4. Postgraduate degree.
5. Date of PhD.
6. Title of PhD thesis.
7. The University of postgraduate study.
8. The Year of earning postgraduate degree.
9. List of publications for the last 5 years.
10. Copies of the most significant publications for the last 5 years.
11. Current position.
12. Work experience.
13. Level of English.
14. Knowledge of other languages.
15. Names and Contacts of recommenders (at least two persons).
16. E-mail address.
17. Telephone number.
Please also add those documents to your application: Copies of documents oof earning postgraduate degree; Pasport copies; Work record card copy (if you have); Curriculum vitae); Motivation letter).
To apply, and for full job details, please contact to Antonina Ukhova: [email protected], [email protected]
The closing date is 25th December 2016 and interviews are likely to be held after the New Year holiays.
Project Manager/Pharmaceuticals/Life Sciences/Change & Transformation/Pharmacovigilance/Drug safety/Compliance/Labelling/Patient Safety/Risk Management within Life sciences or Pharma/Quality and Compliance within life Sciences or Pharma/PMP/PMI/business processes.
Location - Home based with significant UK & Europe travel required.
A Life Sciences Management Consultant is needed within a niche Consultancy being domain experts in the areas of Clinical, Regulatory, Pharmacovigilance, Labelling, Safety and Compliance. The ideal candidate will be working with end-clients, on-site for 3 - 4 days a week. Our client prides themselves on industry insight, their simplification approach and their pragmatic solutions.
We have a number of positions within this practice due to high demands of projects. The consulting team deliver strategy and change management programs to our clients. We are a leading life sciences consultancy with global reach and some 25 years of experience. We are proud of our track record of results with clients focusing on Patient Safety, Risk Management, and Quality and Compliance.
Our team of 50+ industry consultants cover strategy, people, process, and technology.
With clients in over 50 pharmaceutical, medical device, biotechnology, and consumer health organisations we are experienced in supporting focused remediation projects and large scale transformation programs.
Main Responsibilities:
Planning, organising, controlling and delivering simultaneous, large multiple business level projects.
Defining the Target Operating Model and Re-Engineering business processes.
Owning and managing the project budget, and ensuring deliverables are met within the allocated finances.
Management of Project resources.
Ensuring relationships across the entire business are managed effectively
Main Requirements:
Consulting experience or understanding of the consulting work environment. This is vital to this role.
Experience in a Project Management position - scoping, defining budget, managing project resources and ensuring delivery is within defined deadlines.
Prince2 or PMP qualifications are preferred.
Experience or knowledge within:
1. Pharmaceuticals
2. Pharmacovigilance
3. Drug safety
4. Compliance,
5. Labelling,
6. Patient Safety,
7. Risk Management within Life sciences/Pharma
8. Quality and Compliance within Life Sciences/Pharma
Strong communication skills with the ability to engage stakeholders of all seniorities and the confidence to face off the MD level stakeholders on a regular basis.
The ability to deliver high profile change projects to strict deadlines.
Strong degree (2:1) in relevant subject area (eg science or industry related) A further degree is preferable, eg PhD, MBA.
For additional information please forward your CV to Stephen Harris at Pertemps Recruitment.
Edelway is a Swiss leading pharma services company.
On behalf of our global pharmaceutical client based in Zug we are actively looking for a Senior Health Economics Manager to join them on a permanent basis.
Start: ASAP
The role:
The HTA CoE Lead will also work closely with GHE colleagues to ensure HTA-readiness of the Global Value Dossier.
As the company expands into new markets, and HTA proliferates world-wide, the number and complexity of HTA submissions is growing substantially.
As such, this candidate will engage with multiple functions, at all levels, across Therapeutic Areas to ensure seamless integration of HTA COE into the company.
The role includes working cross-functionally and cross-regionally with oversight of centralized vendors, mentoring of junior staff and the possibility of line management responsibilities.
You will:
1. Support submission strategy and development, and ensure high quality dossiers
* Work closely with HTA COE Project Manager, country affiliate and Global/Regional product teams
* Provide affiliate support with country strategy
* Actively participate in strategy meetings and provide cross-country insights and learnings.
* Ensure accurate and timely documentation of strategy meeting discussions and decisions in collaboration with HTA CoE PM and affiliate (ie meeting minutes, updating slide decks).
* Dossier development: Develop product content/data expertise to support affiliates.
* Provide vendor management, including RFPs, SOWs, invoice reviews and direct review and oversight of deliverables
* Review HTA submissions from a content and quality perspective to ensure alignment with agreed-upon strategy and guardrails.
* Serve as member of RTQ (Response to Payer Questions) Team
* Support payer engagement
2. Actively participate as member of HTA COE Core Team to share key learnings and best practices, and to help continually evolve the HTA COE
3. Work cross-functionally to improve and strengthen HTA activities by developing a deep understanding of existing processes, core materials and key interfaces. Maintain/develop deep understanding of HTA principles and techniques.
4. Collaborate with key partner functions, including the Modeling Center, Functional Product Leads, Biostats, Scientific Affairs, etc.
5. Lead and/or support business-critical workstreams
6. Lead training and onboarding sessions, include review and/or preparation of materials
7. Ensure HTA readiness of Global Value Dossiers
Your profile:
* Masters, PharmD or PhD in Health Economics, Outcomes Research, Health Services Research, or related field.
* 3 or more years of experience in global outcomes research including dossier submissions for reimbursement or similar experience.
* Have worked on external dossier submissions with respect to content creation, editing and/or review - ideally HTA/reimbursement dossiers or similar submissions.
* Experience working in a multicultural, Matrix environment involving collaboration with colleagues in different countries.
If this sound like your next challenge, please send me your updated CV at (see below) or call me for more details.
Keywords: HTA, pricing, reimbursement, outcomes research, modelling, Switzerland, Zug,
Starting Salary £28,007 to £30,791 per annum
Band Salary £27,355 to £32,648 per annum
MRC Laboratory of Molecular Biology, Cambridge UK
The MRC Laboratory of Molecular Biology is one of the birthplaces of molecular biology and is an internationally renowned centre for fundamental biomedical research.
The LMB has a strong track record in training Postdoctoral Fellows who have gone on to become leading Scientists. We also have an excellent record of innovative basic research leading to applications in medicine. Scientists are drawn to the LMB from all over the world, thus creating a lively and international community for the exchange of ideas and technical innovation. Following our move to a new laboratory in 2013, we are able to provide state-of-the-art facilities in which innovative medical research, translation and collaboration can flourish.
Applications are invited for a postdoctoral scientist position in the laboratory of Dr William Schafer at the MRC LMB, Cambridge to work within a programme aimed at understanding the molecular and cellular mechanisms of behaviour. Specifically to undertake research to investigate the structure of neuropeptide-mediated intracellular signaling networks and their role control of behavioural states. Key approaches will be to develop image processing methods for high-throughput analysis of gene expression patterns and behavioural phenotyping, and nematode genetic analysis including classical and reverse genetic approaches.
The ideal candidate will possess a background in C. elegans biology as well as signal/image processing, with specific skills in high-throughput phenotyping. Candidates must have a PhD in a biological subject or due to complete doctoral studies within 6 months of applying (in a biological subject).
Successful applicants will be awarded a 3-year Career Development Fellowship/MRC Postdoctoral Training Scheme. The fellowship is a training and development position for a post-doctoral scientist who has recently completed their doctoral studies, or is moving into a new research discipline.
Working for the MRC provides a whole host of benefits including a final salary pension scheme, Benenden Healthcare membership and excellent holiday entitlement. You will also have access to employee shopping/travel discounts, on site sport and social facilities, as well as salary sacrifice cycle to work schemes and childcare vouchers.
For further information of the research undertaken at the LMB, please visit:
http://www2.mrc-lmb.cam.ac.uk
Informal enquires may be made to Dr W. Schafer ([email protected]).
To apply and access full details of the vacancy please visit our job board at https://mrc.tal.net/vx/lang-en-GB/appcentre-1/candidate/postings/384. If you are unable to apply online please contact us at [email protected]
Closing date: 4 December 2016
Under the leadership of our Chief Executive, Professor Paul Workman FMedSci, the ICR is ranked as the UK’s leading academic research centre. Together with our partner The Royal Marsden, we are rated in the top four cancer centres globally.
The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission – to make the discoveries that defeat cancer.
A Postdoctoral Training Fellow position is available to play a key role in facilitating the research of the Systems and Precision Cancer Medicine Team (Team Leader Anguraj Sadanandam). Our interdisciplinary lab focuses on personalized medicine and companion diagnostics using cancer subtypes and evolution by integrating multi-omics (molecular and metabolism) and phenomics (phenotypes) data. We perform this by integrating wet-lab science with computational biology skills by cross-comparing and integrating high-throughput data (including whole tumour and single cell omics data and cross-species analysis) between patients and in vivo and in vitro models. To this end, we have classified different tumor types including breast cancer cell lines, and pancreatic and colorectal tumours and cell lines into distinct molecular and/or drug response subtypes (PNAS 2012, Nature Medicine 2011, 2013 and 2015, and Cancer Discovery 2015). For more information please visit: http://www.icr.ac.uk/our-research/researchers-and-teams/dr-anguraj-sadanandam and http://www.icr.ac.uk/news-archive/scientists-uncover-four-different-types-of-bowel-cancer
You will help us in an immunoncology project characterizing tumours from in vivo models and performing pre-clinical trials. You will enjoy working in the interdisciplinary fields and collaborating with our internal and external collaborators. You will be a highly motivated and well-organised individual with a great attention to detail and strong analytical skills and will also have experience in in vivo (genetically engineered/xenograft) models performing pre-clinical trials in cancer. Your responsibilities will include day-to-day laboratory operations such as cell culture, different molecular biology and biochemical techniques (including, but not limited to DNA, RNA and protein isolation, isolation, RT-PCR, Western blots, immunohistochemistry, flow cytometry, FISH and metabolite analysis) and in vitro and in vivo experiments and interpretation of the results. In addition, you will work closely with the team and other collaborators to develop and validate hypothesis that will arise out of the high-throughput omics data including genomics and metabolomics.
The successful applicant will hold a PhD in biochemistry, molecular biology or any biological science. Experience in laboratory management, molecular biology and biochemical techniques, cell culture and in vivo experiments is essential as well as excellent organizational, scientific writing and communication skills. Experience in computational biology/bioinformatics would be advantageous.
This is an excellent opportunity for an independent and motivated individual to work in an exciting and highly collaborative environment. The position is offered on a fixed term 1 year contract. The full salary scale for this post is in the range from £29,960 to £42,820 p.a. inclusive. Starting salary will be based on previous postdoctoral experience. The position will be based in Sutton.
Informal enquiries can be made to Dr Anguraj Sadanandam ([email protected]). Please DO NOT send your application to Dr. Sadanandam, formal applications must be submitted online.
To apply please upload your CV and covering letter (addressing with specific examples where you meet the person specification and incl. the names and addresses of two referees) online.
Responsibilities
- Identify Key trends and needs of the different markets and be a strong contributor to company strategy and policy
- Analysis and evaluation of relevant state of the art technology in the media, published research journals and the wider industry, including competitors' products
- Be actively involved in Technology European eco-systems & be a company representative in these eco-systems, build relationship with Academics lab
- Identify and report Outstanding Technologies from Start-ups, SMEs, Academic lab or institutes in Europe.
- Propose novel & disruptive Technology development for our products, in regards to our competition
- Establishment of a Technology roadmap in conjunction with the different Business Lines (Smartphones, Wearables, Smart Home, Tablets & PCs, Connected vehicles & M2M)
- Analyze European specifics for Electronic Consumer Markets
- Close collaboration with numerous Product & R&D Teams
Qualifications
- Master or PhD in electrical engineering, telecommunications or computer science
- Business Background (MBA, Business Related position for at least 5 years)
- European and Worldwide short-term travels are required
Skills
- Strong Technical expertise of Embedded systems (HW, System and Software)
- Expertise in (several field appreciated): Displays, Chipset, Camera, Audio, AI, Robotic, HMI, AR/VR, Sports algorithms
- At least 10 years in the Consumer Electronic industry
- Technical expertise into Cloud and Applications SW world
- MBA of Business Expertise demonstrated through Business Development, Product line duties.
- Self-motivation, self-organization, independence, curiosity, thoroughness, creativity, innovation, entrepreneurship, resilience, hands-on and can-do attitude
- Excellent communication and presentation skills in English
Project People Ltd is acting as an Employment Business in relation to this vacancy.
According to the worldwide increase of obesity and its associated metabolic complications, such as diabetes, we assess the impact of nutrient deficiency (amino acids), in the early stages of development, on the induction of obesity and diabetes. Reduced supply of proteins (amino acids) has several implications on long-term individual health. The literature data show that the nutrient restriction, especially in early stages of life, increases the risk to develop obesity and its associated comorbidities. Protein restriction leads to increased body adiposity and insulin resistance, and also causes pancreatic beta cells dysfunction, which increase the probability of diabetes development. However, the mechanisms involved in this metabolic reprogramming remain to be established. It is not known if the higher fat accumulation is due to the thrifty phenotype installation, which may exacerbate the expression of genes involved with the synthesis of energetic substrates or, on the other hand, if it could be associated with thyroid dysfunction, reducing body energy expenditure. Data from our research group also show that supplementation with the amino acid taurine reverses several effects induced by amino acid restriction, although the molecular mechanisms of its action are also unknown.
The candidate should be graduated in Nutrition and have a PhD in related field; experience in morphological analyzes such as immunofluorescence and confocal; cellular and molecular biology techniques with experience in studies of gene expression through Real-Time PCR and broad knowledge in endocrine physiology. It is also expected that the candidate has the ability to work with diets in experimental animal models in a multidisciplinary environment. It is mandatory prior experience of research in metabolic programming involving mainly the adaptive responses of the thyroid.
The project will be conducted in the Endocrine Pancreas and Metabolism Laboratory at the Obesity and Comorbidities Research Center (OCRC), Institute of Biology, Unicamp, under the supervision of Dr. Everardo Magalhães Carneiro, funded by OCRC with full access to University facilities. More information on FAPESP Postdoctoral fellowship is available at www.fapesp.br/bolsas/pd.
Interested parties should submit the following documents to the e-mail [email protected] (Subject: PosDoc OCRC) until: November 20th.
a) Two recomendation letters
b) Research summary developed during PhD
c) Curriculum Vitae
d) Research proposal
For more information about the OCRC, visit www.ocrc.com.br
The Centre for Research in Medical Devices (CÚRAM) is a national, SFI funded, €49.6 million research centre that brings together researchers from NUI Galway, University College Dublin, Dublin City University, University of Limerick, University College Cork, Trinity College Dublin, and Royal College of Surgeons Ireland. The prime objective for CÚRAM is to radically improve health outcomes for patients by developing innovative implantable ‘smart’ medical devices to treat major unmet medical needs. Implants will be designed and manufactured to respond to the body’s environment and to deliver therapeutic agents, such as drugs, exactly where needed. Cutting-edge science will develop devices using the very latest research from biomaterials, stem cells, and drug delivery and the support of strong clinical collaborations, industry partners, and hospital groups to enable rapid translation to the clinic. The centre will include almost 40 industry partners and support product development and the creation of new spin-out companies.
This is a research focused role, where you will conduct a specified programme of research supported by research training and development under the supervision and direction of a Principal Investigator.
The primary purpose of the role is to further develop your research skills and competences, including the processes of publication in peer-reviewed academic publications, the development of funding proposals, the mentorship of graduate students along with the opportunity to develop your skills in research led teaching.
The Postdoctoral Researcher will be responsible for conducting experiments to characterize the properties of the electrode tissue interface of implanted electrodes for neural stimulation and recording, with a particular focus on electrodes for deep brain stimulation.
Key words: Medical devices, Neural interfaces, Deep brain stimulation, Neurophysiology
The successful candidate will carry out the following duties specific to this project:
• Perform extensive in vitro and in vivo experimentation;
• Analyse data in an accurate and precise manner;
• Actively participate in international conferences and meetings;
• Publish data in high impact factor journals;
• Closely work with post-doctoral scientists and others within the CÚRAM institutes.
Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 17:00hrs (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications.
UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned.
Prior to application, further information (including application procedure) should be obtained from the UCD Job Vacancies website: http://www.ucd.ie/hr/jobvacancies.
The UCD Clinical Research Centre is an academic led, multi-site, patient-focused resource supporting clinical and translational research operated by UCD School of Medicine from two modern purpose-built facilities, at the Mater Misericordiae University Hospital and at St Vincent’s University Hospital in Dublin. The centre links the clinical community to core university research institutes including the UCD Conway Institute, Systems Biology Ireland, the UCD Charles Institute of Dermatology and ARCH, the industry-driven technology centre for connected health research in Ireland. (http://www.ucd.ie/medicine/ourresearch/researchenvironment/ucdclinicalresearchcentre/)
The aim of this project is to investigate novel biomarkers of Acute Kidney Injury.
Applications are invited from candidates who hold a PhD in biosciences, preferably with a background in molecular genetics or cell biology. Prior research experience of high throughput analysis, preferably biomarkers / proteomics, would be advantageous. We are looking for a highly qualified individual with outstanding academic credentials and an excellent publication record.
1 Full Professor Position in Logistics and Supply Chain Management at the Luxembourg Centre for Logistics and Supply Chain Management (LCL)
(in collaboration with the MIT) (M/F)
Permanent employment contract
Ref: R-STR-8043-00-A.
The LCL is a joint initiative of the University of Luxembourg and the MIT Global SCALE Network. The LCL is part of the Faculty of Law, Economics, and Finance at the University of Luxembourg.
Role
The candidate is expected to
- take a key role in establishing the recently formed Luxembourg Centre for Logistics and Supply Chain Management (LCL). The successful candidate will join senior faculty to build up the Centre to become a world leader in research and education in logistics and supply chain management;
- lead major research activities (seminars, conferences, workshops) and strategic research areas that are of paramount importance for the community of Luxembourg at large (e.g., finance and supply chain management, multi-modal transport and logistics, and supply chain analytics);
- foster and lead interdisciplinary research, in particular with other research units at the University of Luxembourg;
- engage in developing and delivering graduate (masters and doctoral) level classes as well as executive courses in supply chain management, logistics, and/or related fields.
Profile
The ideal candidate shall have
- a PhD in Supply Chain Management, Logistics, Operations Management, Business Economics, Engineering, or a related field, completed at least three years ago;
- demonstrated teaching excellence at the graduate, PhD, and/or executive level at a major university;
- an excellent research record and outstanding research skills;
- the ability to generate sponsored research and promote technology transfer and entrepreneurship;
- administrative experience, including personnel and budget management skills;
- evidence of the ability to build strong international relationships with researchers and professionals in academia, industry, and government;
- demonstrated intention to be committed to the strengthening of the LCL in building its relationships with the regional community;
- strong interpersonal and communications skills.
- linguistic skills needed to evolve in a multilingual environment. The University of Luxembourg is set in a multilingual context. It is desired that the English must be excellent and a good working knowledge in at least one of the two following languages: French and German. However, it is also possible to obtain proficiency in a second language after being hired as the University provides access to language classes. A basic knowledge of French had to be acquired during the first two years.
University of Luxembourg and Luxembourg
Founded in 2003, the University of Luxembourg is the only public university of the Grand Duchy of Luxembourg. It is a multicultural and modern European research university with a personal atmosphere, close to the European institutions and innovative companies based in Luxembourg. With an emphasis on interdisciplinary research, the University of Luxembourg strives for international excellence as well as regional relevance. The University of Luxembourg offers a competitive package and an international research and teaching environment.
Ranked second in Logistics Performance Indicator (LPI) by the World Bank, The Duchy of Luxembourg seeks to maintain and improve its position as a leader in logistics and supply chain management. The LCL is a corner stone in establishing the dominance of Luxembourg as a leader in logistics and supply chain management. Luxembourg is home to many logistics firms and headquarters, offering many opportunities for research collaborations as well as employment opportunities for graduates.
Further information
Applications should contain the following the documents:
• An application form (available by sending an email to [email protected])
• A detailed curriculum vitae with a list of publications, courses taught (including evaluations of the most recent two years), research grants, industry collaborations and experience, as well as management and administrative positions held;
• A cover letter including a statement highlighting scientific, educational, and other activities of particular significance for this position;
• A list of three references including their contact information and current positions. Please indicate their relationship to you; (the referees will be contacted only upon approval from the candidate)
• Any additional material highlighting significant publications, success in obtaining research funding, industry contacts and collaborations, experience in management positions within a university, as well as other relevant qualifications and achievements are appreciated.
Contact
For questions please contact:
Professor Benny Mantin
Director of the Luxembourg Centre for Logistics and Supply Chain Management
UNIVERSITÉ DU LUXEMBOURG
162a, avenue de la Faiencerie
L-1511 Luxembourg
e-mail: [email protected]
All applications should be sent by e-mail by November 30, 2016 to the following address: (Candidates attending the INFORMS Annual Meeting in Nashville are kindly asked to submit their CV already before November 8, 2016.)
Professor Stefan Braum
Dean of the Faculty of Law, Economics and Finance
University of Luxembourg
4, rue Alphonse Weicker
L-2721 Luxembourg
E-mail : [email protected]
Link: http://emea3.mrted.ly/17xi4
All applications will be handled in strictest confidence.
The University of Luxembourg is an equal opportunity employer.
Expected start date: 05 January 2017
The Brains-On-Board project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1) is a multi-university collaboration aiming to create robotic controllers that will enable autonomous robots with the navigational and learning abilities of a honeybee. It involves five research groups at the University of Sheffield, Queen Mary University, London, and the University of Sussex performing research whose goal is biomimetic robot control and which will combine autonomous robotics, computational neuroscience, accelerated neural network simulations on GPU architectures and insect neuroscience and behaviour. In Sussex we are seeking to employ a team of three research fellows for initially 2 years, with possible extension up to 5 years in the first three of those areas.
RF 1 (ref 1388) in bio-inspired robotics, will develop insect-derived models of navigation and apply them to autonomous robots.
The work will include refining and developing models of insect navigation and testing them on robotic platforms ranging from the Sussex Gantry robot through wheeled robots to autonomous aerial vehicles.
A successful candidate will have a keen interest in the interface of computational biology and bio-inspired robotics and a proven track record in working in this area.
All RFs will work together on the project within Sussex and in the larger Brains-On-Board team.
We encourage applicants to apply for multiple positions if they are interested and feel qualified. Please indicate any preferences when applying for multiple positions.
When applying, please fill in the application form and attach a full CV. Use the space for additional information in support of your application to address in detail what you are bringing to the project and why you are the best candidate for the position, making reference to the role specific criteria as outlined in the Job Descriptions. If you are applying for RF 3 (ref 1390), please provide a link to a major piece of software that you have developed or been involved with (e.g. commits to github or equivalent).
For informal enquiries, please contact Prof Thomas Nowotny ([email protected]) or Dr Andy Philippides ([email protected]).
Closing date for applications: 1 December 2016
For full details and how to apply see www.sussex.ac.uk/jobs
The University of Sussex is committed to equality of opportunity
