PhD position in Biostatistics
The Team METHODS of the Centre of Research in Epidemiology and Statistics (CRESS-UMR1153) is inviting applications for a PhD position in Biostatistics.
Qualifications: Applicants should have strong quantitative skills. They should have a MSc degree, or equivalent, in a quantitative discipline such as statistics, mathematics, physics, computer science, health economics. They should be fluent in English, both written and oral. Programming skills in a high-level language such as R or Python are essential and previous experience with Bayesian methodology is desirable. Previous experience with meta-analysis and systematic reviews is desirable but not essential.
Setting: The post is attached to a research grant funded by the National Research Agency of France. Funding for training opportunities and career development is also included. This will allow the post holder to attend workshops and conferences. Within a multidisciplinary and highly motivated environment, the post will provide the opportunity to the successful candidate to work in collaboration with leading international researchers.
Project outline: The PhD position entails research on methods in the field of evidence synthesis, the quantitative synthesis of results from various studies. The focus is on the statistical aspects of network meta-analysis as well as the communication of its results to end-users.
Applications should include a CV in English, contact details for two academic or professional referees and a cover letter with a personal statement (about half a page) describing your suitability and motivation.
For informal enquiries please contact firstname.lastname@example.org
Starting date: November/December 2022
Duration: 36 months
Applications should be send at email@example.com
Deadline for applications: Closed
Are you interested in methods for comparative effectiveness reviews and willing to apply for funding to undertake your research?
Send us your application including your CV, a cover letter, and names and contact details of two references.
Required skills and background:
- Strong quantitative skills: a Master degree, PhD, or equivalent, in a quantitative discipline such as statistics, mathematics, physics, computer science or, alternatively, in a health-related discipline with a strong quantitative component and good statistical and computational skills.
- Proficient in English, both written and oral.
- Programming skills in a high-level language such as R, C, Python.
- Previous experience with meta-analysis and systematic reviews is desirable but not essential.
Possible funding schemes to apply for: