The University of Lausanne is a higher teaching and research institution composed of seven faculties where approximately 15,000 students and nearly 5,000 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 research group of Prof. Olivier Delaneau at the department of Computational Biology is seeking to recruit a PhD student to work on projects in the fields of Systems and Population genetics.
For more details, please consult the website of the group: https://odelaneau.github.io/lap-page/
Expected start date in position : 01.01.2019 or to be discussed
Contract length : 1 year, renewable 2 x 2 years, maximum 5 years
Activity rate : 100% (85 % research thesis work + 15 % teaching)
Workplace : Department of Computational Biology, Génopode building, 1015 Lausanne
The successful candidate will work on a project aiming at better understanding the function of genetic variations in the non-coding regions of the human genome. He/She will have to mine large scale multi-omics data sets containing genomic, transcriptomic and epigenetic data. Specifically, the first aim of the project will be to develop new computational methods able to predict (or impute) missing data in these data sets. And the second aim of the project will be to use these imputation methods on large scale multi-omics data sets we already have access to in the lab in order to enable their integration and their analysis. Besides this, the candidate will also be involved in some teaching and administrative tasks related to the department’s activities.
We are a new research group at the department of computational biology and we are looking for talented and motivated students interested in the analysis and integration of high-throughput multi-omics data sets. A Master’s degree or equivalent in computational biology, bioinformatics, computer science or statistics is therefore required. A background in any field related to genetics is also a plus. We expect the candidate to be motivated, communicative, ambitious and happy to work in a collaborative and inter-disciplinary environment.
What the position offers you
We offer a nice working place in a multicultural, diversified and dynamic academic environment, opportunities for professional training.
Possibilities of continuous training, a lot of activities and other benefits to discover.
Contact for further information
For further information please contact Prof. Olivier Delaneau, Olivier.Delaneau@unil.ch.
Deadline : 31.10.2018
Please, send your full application in Word or PDF format. Any application should include: a cover letter, a CV, a list of publications, and some referees
Only applications through this website will be taken into account.
We thank you for your understanding.
UNIL is committed to promoting gender equality and strongly encourages applications from female candidates.