PhD Position in Computational Biology and Biomedical Engineering University of Basel in Switzerland

Call for applications for a fully funded PhD position in Computational Biology (100%) at the University of Basel, within the Department of Biomedical Engineering and the Pediatric Disease Modeling Lab.

The project sits at the intersection of computational biology, biomedical engineering, mathematical modelling, machine learning, statistics, and multi-omics analysis. The research focus is on understanding how early-life interactions between the microbiome and the immune system shape lifelong health, with a strong global health and pediatric disease modeling angle.

Selected methods and tasks include analysing longitudinal multi-omics datasets, developing mathematical and statistical models, applying machine learning and causal inference methods, collaborating with clinical and experimental partners, and contributing to publications and scientific reports.

Eligibility highlights: a Master’s degree in Computational Biology, Bioinformatics, Mathematics, Physics, Computer Science, or a related field; programming skills in Python, R, or MATLAB; strong interest in quantitative methods and biomedical research; excellent English communication skills; and motivation to work in an international research environment. Preferred experience includes machine learning, statistical modelling, biological data such as microbiome/transcriptomics/immunology, causal inference, or dynamical systems.

Funding: the position is advertised as 100% fully funded. The post also mentions an interdisciplinary and international environment, access to unique global health datasets, and strong mentorship and career development opportunities.

Application materials requested: cover letter, CV, and contact details of at least two referees. The post states that there is no fixed deadline and that applications are reviewed on a rolling basis. Start date is from 1 August 2026 or by agreement.