About the Project
The University of Lausanne (UNIL) is a leading international teaching and research institution, with over 5,000 employees and 15,500 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.
We are looking for candidates for a PhD position in the Computational Biology Group (CBG) at the University of Lausanne. The group, headed by Prof. Sven Bergmann, develops and applies methods for the integrative analysis of large-scale biological and clinical data. It is part of the Department of Computational Biology (DBC), currently hosting nine research groups, and also affiliated with the Swiss Institute of Bioinformatics (SIB).
Our goals are to improve fundamental understanding of how genetic variability affects phenotypes, to learn about underlying molecular mechanisms, and to make use of our insights to improve the diagnosis, prevention and treatment of disease whenever possible. A focus of our research is the integration of molecular phenotypes, such as gene expression and metabolomics data, within the framework of genome-wide association studies (GWAS). We are interested in network-based and modular approaches to visualize such large-scale data and reduce their complexity. We use both statistical and computational methods and have an interest in machine learning (ranging from simple regression to more advanced artificial intelligence).
A complementary direction of research pertains to relatively small genetic networks, whose components are well known. We collaborate closely with experts of the field to identify biological systems that can be modeled quantitatively.
Expected start date: As soon as possible
Contract length: Initially for 1 year, can be extended twice for a maximum of 5 years total
Activity rate: 100%
Workplace: Genopode (at the main “Dorigny” campus of the University of Lausanne)
Your research work will focus on the design, development, and application of computational approaches to analyze large-scale data, such as those from large human cohorts. You will enjoy great creative freedom to work on interesting questions within the research directions outlined above and come up with your own solutions. While advancing your PhD project, you will profit from working in an interdisciplinary and highly collaborative team of fantastic people.
Most members of the CBG have a background in computer science, statistics, physics or related fields, but applicants with a background in Life Sciences are also welcomed to apply, provided they can demonstrate previous experience in computational biology and/or analysis of large-scale data. Good knowledge in programming and statistics is an advantage.
*What the position offers you:
We offer a nurturing working environment with very competitive salaries. Our group is interdisciplinary, multicultural and dynamic. We consider your well-being as essential for working creatively at the forefront of Computational Biology and will provide various opportunities for personal development and professional training.
*Contact for further information:
Further details about the group can be found here: http://www.unil.ch/cbg
For further information please contact Prof. Sven Bergmann ([Email Address Removed]) using the subject line ”PhD position in Computational Biology”.
Only formal applications submitted via the linked application website will be taken into account.
Applications in Word or PDF will include a cover letter, CV, list of publications, and the names of at least two references.
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