PhD Position in Statistical Machine Learning: A joint PhD position is available in the Pertz Lab (Institute of Cell Biology) and the Ginsbourger Group (Institute of Mathematical Statistics & Actuarial Science). This collaborative project aims to develop autonomous “self-driving” microscopes that leverage machine learning and statistical modeling to enhance our understanding of biological dynamics.
PhD Position in Statistical Machine Learning for Self-Driving Microscopy
Designation
PhD Student
Research Area
- Statistical Machine Learning
- Live-Cell Biology
- Gaussian Processes
- Bayesian Optimal Design
- Optogenetics
Location
Bern, Switzerland
Eligibility/Qualification
- Master’s degree in Mathematics, Statistics, Computer Science, or Engineering
- Solid skills in statistical modeling and probability theory
- Experience in coding (Python, R, Julia, Matlab)
- Motivation to collaborate closely with experimental researchers
- Curiosity about biological systems (prior wet-lab experience not required)
Description
The PhD candidate will be integrated into two research environments, working on pioneering techniques that include:
- Development of active Bayesian experimental designs
- Implementation of operator-valued and deep kernels
- Closed-loop control of biological systems using physics-informed neural networks
This position offers the rare chance to see mathematical models guiding experiments in real time, fostering a unique interdisciplinary approach to research.
How to Apply
Please submit your application electronically in a single PDF including:
- Short motivation letter
- CV (including month/year)
- BSc and MSc transcripts (in one of Switzerland’s official languages or English)
- Contact information for two references
- Any other relevant document
Applications should be sent to both email addresses:
- olivier.pertz@unibe.ch
- david.ginsbourger@unibe.ch
Last Date to Apply
Applications will be reviewed on a rolling basis until the position is filled.
For further details, please visit: www.karriere.unibe.ch
