Phd Student in Statistics
vor 7 Monaten
At the Leibniz Institute for Prevention Research and Epidemiology - BIPS we have an opening in the Department of Biometry and Data Management within the Research Group “Statistical Methods for Causal Inference” (Lead: Prof Dr Vanessa Didelez) for a
PhD student in Statistics (f/m/d)
Salary Scale 13 of the German public sector salary system (TV-L)
The position starts as soon as possible (administrative clearance permitting). The contract is initially limited to 3 years (extension possible), 39.2 hours/week (100% position). The position is generally suitable for part-time employment.
Tasks
- To study how design features of multi-cohort studies affect the identifiability and performance of standard statistical methods for lifespan predictions and causal discovery
- To support the harmonization of data of multiple cohort studies to generate a dataset covering the lifespan
- Develop theory for and assess methods via simulations
- Publish and present research results
- To advance mixed-effects machine learning approaches to go from factual to counterfactual prediction
**Requirements**:
- Master’s degree (or equivalent) in (bio-)statistics, mathematics, or related disciplines
- Advanced knowledge and proven track record in statistics and/or epidemiology
- Experience in publishing in international journals is desirable
- Programming skills in SAS, R, Python or similar
- Very good communication skills
- Very good knowledge of the English language
- Ability to work independently and as a member of a team
- Affinity for interdisciplinary work, motivation, commitment, and scientific curiosity
**Benefits**:
The Leibniz Institute for Prevention Research and Epidemiology - BIPS is one of the leading epidemiological research institutions in Germany and a member of the Leibniz Association. It maintains close collaborations with various partners in Germany and abroad.
We offer a structured PhD program, exciting research topics, a stimulating international environment, a good infrastructure, close ties to the University of Bremen and an engaged, supportive and cooperative team.
Additional information about the institute can be found on our homepage: bips-institut\[.]de/en
bewerbung\[at]leibniz-bips\[.]de.
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