Call for researchers interested in a MSCA Individual Fellowship in the field of evidence synthesis

10/02/2019 17:00 – Europe/Brussels
H2020 / Marie Skłodowska-Curie Actions
Paris (France)

The Methods Team of the Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité – CRESS UMR1153 of the University Paris Descartes is looking for a talented international researcher planning to submit applications for independent research fellowships through the mobility program Marie Skłodowska Curie Individual Fellowship (MSCA-IF) in the field of evidence synthesis.

Prospective candidates will have the opportunity to participate in the Université Sorbonne Paris Cité’s Marie Curie Meet-Up taking place on June 17-18, 2019 in Paris, aiming at supporting candidates in the IF 2019 application process:

– Day 1: welcome by the USPC European Research Network, specialized training on how to write “Individual Fellowships” proposals and individual interviews with the Research manager of the host institution

– Day 2: visit of the host laboratory and joint work with the supervisor

The grant will cover all the Marie Curie Meet-Up event expenditures (travel, hotel and subsistence expenses for 2 days and 2 nights).


Marie Skłodowska-Curie Individual Fellowships provide funding for individual researchers, allowing them to diversify and broaden their scientific knowledge and skills. They are international fellowships, meaning you must move (or have moved) to a different country.

The grant usually covers two years’ salary, a mobility allowance, research costs and overheads for the host institution. Net salary: between €3000 and €4000 per month.

Individual researchers submit proposals for funding in liaison with their planned host organisation.

Proposals are evaluated on their research quality, the researcher’s future career prospects, and the support offered by the host organisation.

For more information on MSCA IF:

MSCA-IF eligibility criteria

  • The researcher must not have resided or carried out his/her main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before 12 September 2019. Short stays (such as holidays), compulsory national service (such as mandatory military service), and time spent on procedures for obtaining refugee status are not counted.

  • The researcher will be, on 12 September 2019, in possession of a doctoral degree or will have at least four years of full-time equivalent research experience (parental leave periods do not count towards the time of research experience). Full-Time Equivalent Research Experience is measured from the date when a researcher obtained the degree entitling him/her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited, even if a doctorate was never started or envisaged.

Brief description of the Centre / Research Team

The Methods of therapeutic evaluation of chronic diseases (METHODS) Team is part of the Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité – CRESS UMR1153.

Its objectives are to rethink the therapeutic evaluation of chronic diseases by exploring new concepts, developing new methodological approaches and performing Research on Research. Our research focusses on three main axes :

– Building Primary Evidence Differently

– Rethinking Evidence Synthesis

– Rethinking Research Dissemination

Who should apply

  • Interested researchers should have strong quantitative skills.

  • They should have a PhD, or equivalent, in a quantitative discipline such as biostatistics, statistics, mathematics, physics, computer science or, alternatively, in a health-related discipline with a strong quantitative component and good statistical and computational skills.

  • Fluency in spoken and written English and programming skills in at least one computer programming language are essential.

  • Previous experience with meta-analysis and systematic reviews is desirable but not essential.

The research proposal will entail epidemiological and statistical research in the field of network meta-analysis (NMA). NMA, an innovative evidence synthesis approach, has yielded a paradigm shift in health care research. By considering evidence in the more realistic setting of all relevant information sources, it allows to best inform clinical practice and decision-making. However, several methodological issues, such as analysis of ‘weak’ networks, combination of different data types, definition of nodes, adaptation of results to personalized medicine, remain to be addressed to broaden NMA benefits and avoid misleading conclusions.

The fellowship will provide the opportunity for the successful candidate to work in collaboration with leading international researchers.

How to apply

For a correct evaluation of your candidature, please send the documents below to Dr. Anna Chaimani ( by February 10, 2019:

  • CV in English

  • Cover letter with a personal statement (about half a page) describing your suitability and motivation.