PhD Candidate in Statistics: Causal Inference for Health Data

Unil; Lausanne; Hybrid; CHF 61,000 - 74,000; Full time

Job summary

The Department of Operations at the University of Lausanne invites applications for a Graduate Assistant position in Statistics, with research focused on causal inference for public health surveillance and pharmacovigilance. The successful candidate will divide time between completing a PhD thesis (minimum 50%) and supporting teaching and research in the department.

The position is fully funded, begins on 1 March 2027, and can be renewed up to five years; English and French are required, with R

Qualifications

• Master’s degree in statistics, mathematics, data science or related field.
• Strong grounding in statistics, including probability, inference and modelling.
• Experience with health data or causal inference is an asset.
• Interest in public health, pharmacovigilance or causal inference is welcome.

Responsibilities

• Complete a PhD thesis with focus on statistical methods for public health surveillance.
• Contribute to teaching and research activities in the Department of Operations.

Skills

English proficiency

French proficiency

R or Python programming

Education

Master’s degree in statistics, mathematics, data science, or related field

Tools

R

Python

Job description

The Department of Operations at the University of Lausanne invites applications for a Graduate Assistant position in Statistics, with research focused on causal inference for public health surveillance and pharmacovigilance. The successful candidate will divide time between completing a PhD thesis (minimum 50%) and supporting teaching and research in the department.

The position is fully funded, begins on 1 March 2027, and can be renewed up to five years; English and French are required, with R