Training & Recruitment
Our vision is to develop and apply novel causal methods in epidemiology, with a major focus being on the integration of omic measures. To achieve these aims, the MRC IEU integrates a multidisciplinary team of researchers.
We welcome applications from scientists from a variety of disciplines to join our vibrant and forward-looking team, including basic and clinical sciences, biology, psychology, mathematics, computer science and the social sciences.
Independent fellowship candidates
The MRC IEU provides a stimulating and supportive environment for independent fellowship holders in which to undertake world-class research, develop international networks and receive structured career support.
If you are interested in making a fellowship application with the MRC IEU as your host organisation, please contact one of the programme leads in the first instance. We suggest that you contact us at least 12 weeks before the funders deadline.
We particularly support applications to the following funders:
- Wellcome Trust
- Cancer Research UK
- Arthritis Research UK
- British Heart Foundation
- Marie Sklodowska-Curie
The MRC IEU is keen to support Individual Fellowship (IF) applications from experienced researchers wishing to undertake a period of research and training related to our vision, and as host organisation we offer an outstanding research and training environment. These trans-national fellowships are open to researchers within and outside Europe. The award usually covers two year’s salary, a mobility allowance and research costs.
If you are interested in making a fellowship application with the MRC IEU as your host organisation, please contact one of the programme leads in the first instance.
All vacancies in the MRC IEU are listed in the University jobs site
Leads: Profs Richard Martin and Kate Nobes
Our aim is to train a new generation of scientists, with a unique breadth of interdisciplinary analytical and technical skills, able to capitalize on rapidly developing new technologies in molecular, genetic, computational and engineering sciences within clinical and population-based cohorts.
Our proposal for capacity building in these areas of national need is unique, building on our highly successful existing 4-year PhD training scheme and internationally attended 12-week programme of short courses. We believe our Programme, through access to a wide mix of expertise in translational epidemiology, biostatistics, public health, molecular genetics, econometrics, engineering, computer science and several unique population-based cohorts, will provide students with an unparalleled dynamic, collaborative and multi-disciplinary environment in which to study and develop. Not only does an integrated approach attract stronger students, but collaboration around course delivery and supervision will foster new and stronger academic collaborations between colleagues. Our aim is that PhD students, by being immersed in the Unit’s culture, will consider inter-disciplinarity as an expectation of successful research.