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Olivier Pertz

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PhD Position in Statistical Machine Learning for Self-Driving Microscopy University of Berne in Switzerland

I am offering a fully funded PhD position in statistical machine learning for self-driving microscopy, co-supervised by Prof. Olivier Pertz and Prof. David Ginsbourger at the University of Berne.

University of Bern

Switzerland

Feb 20, 2026

Keywords

Cell Biology
Computer Science
Biology
Optogenetics
Gaussian Processes
Statistics
Machine learning

Description

This fully funded PhD position at the University of Berne offers a unique opportunity to work at the intersection of statistical machine learning, advanced microscopy, and live-cell biology. The project is a joint collaboration between the Pertz Lab (Institute of Cell Biology) and the Ginsbourger Group (Institute of Mathematical Statistics & Actuarial Science), providing a rich interdisciplinary environment for research and training. The successful candidate will be co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and will be equally embedded in both research groups. The project aims to develop autonomous “self-driving” microscopes capable of building statistical models of biological dynamics in real time, predicting the most informative next experiment, and executing it automatically on living cells. This involves cutting-edge methods such as Gaussian Processes (heteroscedastic & multivariate), operator-valued and deep kernels, active Bayesian experimental design, physics-informed neural networks, and closed-loop control of biological systems. The Pertz Lab has pioneered optogenetic tools and fluorescent biosensors that enable direct perturbation and measurement of cellular signaling networks using light. By integrating these experimental capabilities with advanced statistical and machine learning techniques from the Ginsbourger Group, the project seeks to revolutionize experimental design and data-driven biological discovery. Applicants should have a Master’s degree or equivalent, strong skills in statistical modeling and probability theory, and experience in coding (Python, R, Julia, Matlab, etc.). Motivation to collaborate with experimental researchers and curiosity about biological systems are essential; prior wet-lab experience is not required. Good English language skills and 1–4 years of research experience in biological sciences are preferred. The position includes a small teaching duty in Statistics, which comes with an enhanced salary compared to standard PhD funding in Switzerland. The University of Berne is a top-ranked Swiss research university with an international community, high quality of life, and outstanding support for early-career researchers. Applications are reviewed on a rolling basis until the position is filled. For more details and to apply, visit the official job posting or contact the supervisors directly.

Funding

Available

How to apply

Send your application materials to Prof. Olivier Pertz via email. Applications are reviewed on a rolling basis until the position is filled. Refer to the provided website for additional job details and instructions.

Requirements

Applicants must hold a Master's degree or equivalent in a relevant field. Solid skills in statistical modeling and probability theory are required, along with experience in coding (Python, R, Julia, Matlab, etc.). Candidates should be motivated to work closely with experimental researchers and have curiosity about biological systems; prior wet-lab experience is not required. Good command of English is necessary. 1–4 years of research experience in biological sciences is preferred.

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