Postdoctoral Research Fellow
Interdisciplinary: Engineering, Mathematics and Physical Sciences (CEMPS), Medical School (UEMS), and Life and Environmental Sciences (CLES)
These posts consist of a 3 year Postdoctoral Research Fellowship from 1 April 2018 - 31 March 2021 (or earlier by negotiation). However, should the successful candidate secure their own independent Fellowship funding then they will have the opportunity to progress to a permanent Lectureship within an appropriate College, subject to satisfactory performance and compliance with visa regulations.
What we can offer you
Successful candidates will receive a substantial personal allowance for travel and computing, a bespoke programme of mentoring from key academic and professional staff, as well as targeted training to enable them to apply competitively for independent research Fellowships during their time with the University. This programme has seen 6 candidates secure independent Fellowships from the EPSRC and the MRC in the past 18 months alone.
Following the award of prestigious Institutional Strategic Support Funding by the Wellcome Trust, we are seeking to recruit 3 Research Fellows, to complement those already supported within the Centre for Biomedical Modelling and Analysis. You will be housed within the brand-new Living Systems Institute in the heart of Exeter's Streatham campus, where you will work amongst a wider pool of 200 researchers spanning biosciences and medicine.
These positions have 2 main components; to direct their own programme of research and develop new research activity in a cross-disciplinary environment. The core focus of these posts spans one or more of the following areas;
- Mathematical or statistical modelling (including dynamical systems, Bayesian computation and Mendelian randomisation);
- Spatio-temporal network dynamics (from the molecular level, through proteins, to systems level modelling);
- High-throughput image analysis;
- Machine learning and advanced data analytics;
- Single-cell 'omics.
You will have;
- PhD or equivalent in a quantitative discipline such as mathematics, physics, computer science, chemistry, informatics; systems biology or a related interdisciplinary field.
- Possess sufficient specialist knowledge in one or more of the areas mentioned above.
- Experience of research in a quantitative discipline
- Able to identify sources of funding, generate income and build relationships for future activities.
- Candidates with experience accessing and working with large biomedical datasets and databases such as the NCBI resources or the CPRD are particularly welcome to apply.
- As part of a wider research group with a focus on translation, we would also welcome enquiries and applications from those with a clear industry focus and from individuals already holding an independent Research Fellowship.
Please ensure you read our Job Description and Person Specification for full details of this role.
In addition, we have 2 UKRI Innovation / Rutherford Fund Fellowships available. These three year awards will suit applicants with a strong quantitative background, or a desire to build strong quantitative skills, who additionally have a confirmed industry partner. Candidates interested in these positions must contact Professor John Terry (J.Terry@exeter.ac.uk) in the first instance for a confidential discussion, prior to submitting an application. Interviews will be held in Exeter on 8 November 2017.
To apply, candidates are required to submit a cover letter, a two-page outline of their research and plans for skills development, and a detailed letter of support from their industry partner. Please state clearly on the application form that you are applying for a UKRI Innovation / Rutherford Fund Fellowship.
The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer, an Athena Swan accredited institution and a Stonewall Diversity Champion. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.