PhD candidate position in Molecular and Cognitive Neurosciences
We offer a PhD candidate position at the Transfaculty Research Platform Molecular and Cognitive Neuroscience (MCN, https://mcn.unibas.ch/) at the University of Basel, Switzerland. MCN focuses on the neurobiological underpinnings of human behaviour and on the development of novel treatment options for neuropsychiatric disorders. Our research is enabled by our in-house computational platform which provides access to multi-omic data sets from preclinical data, clinical trials as well as in-house and public genomics and brain imaging data.
The research project will focus on extending and utilizing our existing computational analytics platform for reproducible research. The successful candidate will collaborate with bioinformaticians, statisticians, psychologists and biologists to identify critical research questions and address them via computational approaches. Starting date 2019, month flexible.
The successful candidate will have a Master's degree (or comparable) and a strong background in Psychology, Data Sciences, Bioinformatics, Computer Science, Statistical Genetics, Neuroscience or related disciplines. The ideal candidate will have hands-on experience of programming in R and SQL, experience in using git and Linux as well as affinity to statistical (genetics) methods. While English language skills are essential, German language skills are useful but not essential.
We offer you
We offer the opportunity to work, study and do research in an excellent, highly interdisciplinary scientific environment supported by research group leaders and staff. The Basel area is a sunny and cosmopolitan region in the Northwest of Switzerland right next to France and Germany and the University of Basel offers internationally competitive salaries.
Application / Contact
Applications should be submitted electronically including your CV, research experience and the names of two references to Dr. Thomas Schlitt, thomas.schlitt(at)unibas.ch
Die Ausschreibung ist auch im Internet unter http://direktlink.prospective.ch/?view=1ec1b0da-f0fb-484d-8948-86bb16659c60 abrufbar.