The Complex Trait Genetics lab (www.ctglab.nl
) at the Center for Neurogenomics and Cognitive Research in Amsterdam (www.cncr.nl
) is seeking applicants for a PhD position in Genetics and Addiction. The successful candidate will be part of the BRAINSCAPES project, which is a 10-year nationwide collaboration funded by the Dutch Government (Gravitation Program), and led by the department of Complex Trait Genetics. The main aim of BRAINSCAPES is to gain mechanistic insight into several brain disorders by leveraging results from recent genetic discoveries, utilizing large-scale bioinformatic resources, and testing genetically informed hypotheses in experimental studies.
The work of the candidate will focus on applying existing tools (e.g. FUMA, MAGMA, TWAS, LDSC, fine mapping) that integrate bioinformatic resources with results from genetic discovery studies for brain-related disorders, with a focus on addiction. The aim of the project will be to identify the neurobiological mechanisms linking genes to addiction susceptibility and investigating their overlap with other neuropsychiatric disorders. The candidate will work in an enthusiastic team of PhD students and postdocs with diverse backgrounds including statistics, bioinformatics, artificial intelligence, neuroscience, psychology, and stem cell biology.
We are seeking a highly motivated, talented individual. The successful candidate needs to have experience with genetic research, an affinity for working with large datasets, and familiarity with genome-wide association studies. Knowledge of the UNIX environment, R, some scientific programming experience, and genetics and/or neuroscience background is preferred. Your duties
- apply bioinformatic tools for integrating results from genome-wide association studies with biological resources to data on brain-related traits
- actively take part in the BRAINSCAPES consortium including frequent contact with other, mostly neuroscience oriented, labs
- authoring and co-authoring manuscripts submitted to high quality journals
- some support (10% of time) for teaching is expected
- frequently present work to the international scientific community