A postdoctoral position in theoretical population genomics is available in the research group of Anna-Sapfo Malaspinas in the Department of Computational Biology at the University of Lausanne.
In our group, we generally aim at characterizing evolutionary processes while relying on genomics data from both modern and ancient samples. We develop analytical and computational methods to analyze and interpret population genomic data and we apply those methods to novel DNA datasets via collaborative projects.
We are looking for a theoretician to tackle large genomic datasets by a combination of advanced analytical and numerical approaches. The main project for this position aims at developing an efficient framework for inference of population history by combining multivariate analysis (e.g. multidimensional scaling analysis) and coalescent theory. Note that if interested, the candidate can also set some time aside for i) a personal side project, ii) gaining experience in training master and PhD students and iii) applying for grants for her/his next academic steps.
Requirements
• PhD (in e.g. population genetics but we welcome candidates with a PhD in other disciplines such as maths, theoretical physics etc.).
• Fluency in linear algebra, experience in both numerical and analytical methods for large matrices and good knowledge of probability and statistics, including Markovian processes.
• Experience in scientific programming. Knowledge of Python language and Python scientific libraries is preferred, but experience in other languages is also a possibility.
• Experience of work in UNIX environment, working with clusters remotely.
Nice to have
• Basic understanding of random matrix theory, statistics of bulk and extreme eigenvalues.
• Experience using statistical libraries (in e.g. Python and/or R).
• Basic knowledge of genetics is a plus but is not required.
Department of Computational Biology, University of Lausanne
Lausanne is a medium-sized city on the shores of Lake Geneva, surrounded
by a wine growing region recognized as a UNESCO World Heritage Site, and
within one hour of the Alps. It offers a great variety of cultural, recreational and outdoor opportunities.
The University of Lausanne (UNIL) is a higher teaching and research institution where approximately 14,000 students and nearly 4,000 collaborators, professors, and researchers work and study. Ideally situated along the lake of Geneva, near Lausanne’s city center, its campus brings together over 120 nationalities.
The department of Computational Biology is a friendly new department within the University of Lausanne with expertises among the groups ranging from disease mapping, quantitative genetics, cancer genomics, phylogenetics, medical genetics and gene expression.
Our group recently moved to UNIL while also joining the SIB Swiss Institute of Bioinformatics. We are a multidisciplinary and international group.
Timeline and contract
Starting dates are flexible but the candidate should start in 2018 (ideally before July). It is meant to be a full time position but a lower rate is negotiable e.g. for family
reasons. Annual salaries are competitive (about CHF 80,000 ~ USD 80,000 ~ Euro 68,000/year) and there is available funding for three years while contracts are renewed annually.
How to apply
Interested applicants should send a CV, contact information for three references, as well as a cover letter stating general research interests as well as motivation to join the group. If the candidate would like to work on their own side project, a short description should be sent along as well.
Please follow the instructions here to submit your application.
The review of applications will start on March 10 2018 and will continue until a
suitable candidate is found.