Job Opportunities in Switzerland
September 25, 2024
SIB Swiss Institute of Bioinformatics
Lausanne
OTHER
14 fully funded PhD fellowships in Quantitative Biology
Job tasks
Biological research is increasingly relying on complex data from high throughput methodologies, including omics and imaging datasets. Sophisticated analysis approaches are needed to extract knowledge from these data, transforming life sciences into an increasingly quantitative discipline. The University of Lausanne (Switzerland) is at the forefront of this revolution, with quantitative research ramping up throughout the Faculty of Biology and Medicine (FBM), a dedicated Department of Computational Biology (DBC), and interdisciplinary units such as the Center for Integrative Genomics (CIG) and various units at the CHUV, Lausanne’s University Hospital. UNIL also hosts the headquarters of the Swiss Institute of Bioinformatics, to which many quantitative research groups are affiliated, and closely collaborates with EPFL on the same campus. Ideally situated along the lake of Geneva, near Lausanne's city centre, UNIL brings together over 120 nationalities.
UNIL's FBM has established a doctoral program in "Quantitative Biology" (QB) to federate the recruitment of and exchange between Ph D students from areas as diverse as Computational Biology, Machine Learning, Cancer Genomics, Human Genetics, Neuroscience, Evolutionary Ecology, Gene Regulation, Neural Networks, Cell Biology and Genetic.
In 2024, hiring principal investigators include Holger Auner (CHUV) , Richard Benton (CIG), Sven Bergmann (DBC), Claire Bertelli (CHUV) , Oliver Y. Chen (CHUV) , Giovanni Ciriello (DBC), Raphael Gottardo (CHUV) , Zoltán Kutalik (DBC), Johannes Larsch (CIG), Anna Sapfo Malaspinas (DBC), Marianna Rapsomaniki (CHUV) , Alexandre Reymond (CIG), Nadine Vastenhouw (CIG), Alessandro Villa (HEC).
Profile requirements
We are accepting applications from talented and enthusiastic candidates who are interested in a dynamic, well-supported lab at a top research institution. Candidates need to have finished a Master’s degree in a relevant area before the start date of their doctoral studies.
Given the diversity of research in our faculty, we propose two main tracks in our program:
- The Q2B track is dedicated to students with a degree in quantitative sciences (such as computer science, engineering, physics, or maths) and are interested in using their skills to design and apply new computational and/or statistical approaches to solve biological problems. Previous knowledge in biology is not required but a plus.
- The B2Q track is dedicated to students with a life science degree or similar, who are highly motivated to learn the fundamentals of computational biology and integrate computational and experimental approaches in their work. Previous knowledge in bioinformatics is not required but a plus.
Students from both tracks will participate in the same activities and have access to the same resources offered by the program. A high level of written and spoken English proficiency is required since most scientific activities are conducted in English.
How to apply
If you are interested in this challenging and highly interesting position, please apply online here.
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