PhD Position in Statistics with a focus on Statistical Machine Learning for Self-Driving Microscopy — Universität Bern
CHF 68'500 - 104'000
Universität Bern · Bern (BE)
- Location
- Bern
- Contract
- full-time
- Posted
- 191 days ago
SalaryCHF 68'500 - 104'000
Role overview
Joint project between – Pertz Lab ( Institute of Cell Biology ) & D.
Ginsbourger's Group ( Institute of Mathematical Statistics & Actuarial Science )
We are seeking highly qualified, motivated and creative candidates wishing to join a collaborative project at the interface of statistical machine learning and live-cell biology.
- Joint project between – Pertz Lab ( Institute of Cell Biology ) & D.
- Ginsbourger's Group ( Institute of Mathematical Statistics & Actuarial Science )
- The ideal candidate will have recently earned or be about to finish their master's degree in statistics or neighboring subjects with a strong mathematical component, a genuine interest in statistical data science and applications thereof, a taste for both theoretical investigations and numerical experiments, solid programming skills (Python, R, Julia, Matlab...), motivation to work closely with experimental researchers, and, of course, curiosity about biological systems - no prior wet-lab experience needed!
What the company offers
- The ideal candidate will have recently earned or be about to finish their master's degree in statistics or neighboring subjects with a strong mathematical component, a genuine interest in statistical data science and applications thereof, a taste for both theoretical investigations and numerical experiments, solid programming skills (Python, R, Julia, Matlab...), motivation to work closely with experimental researchers, and, of course, curiosity about biological systems - no prior wet-lab experience needed!
Additional details
- The PhD in statistics will be co-supervised by Prof. David Ginsbourger (Statistics) and
- Wir bieten: The ideal candidate will have recently earned or be about to finish their master's degree in statistics or neighboring subjects with a strong mathematical component, a genuine interest in statistical data science and applications thereof, a taste for both theoretical investigations and numerical experiments, solid programming skills (Python, R, Julia, Matlab...), motivation to work closely with experimental researchers, and, of course, curiosity about biological systems - no prior wet-lab experience needed!
Notes and original content
- The PhD in statistics will be co-supervised by Prof.
- David Ginsbourger (Statistics) and
