Postdoctoral Research-Population Neuroscience

• Take a leading role in development, adaptation and implementation of state of the art stratification and prediction techniques, including advanced representational approaches.
• Apply these approaches to large scale, high dimensional datasets involving neuroimaging, behavioural, environmental and –omics.
• Take a leading role in the publication and dissemination of data.
• Present at academic meetings and contribute to the visibility of the project and its aims.
• Work as a conscientious and committed member of the team in order to achieve the aims of the project.
• Assist with the supervision of PhD and MSc candidates and with the general running of the group.

PhD in a relevant discipline（computer science, biomathematics）awarded, or thesis submitted, or thesis near completion.
• A very good understanding of biomathematical and computer science methods applicable for phenotype stratification and prediction.
• Experience of working with behavioural, epidemiologic and/or biological datasets.
• Thorough conceptual understanding and experience in machine learning or/and deep learning methodology.
• Evidence of the ability to publish in high-impact scientific journals.
• Strong interpersonal skills, including willingness to introduce and help other colleagues with mathematics/statistics skills.
• Good organisational skills.
• Professional and enthusiastic attitude.
• German language skills desirable, but not essential.

应聘材料：
（1）Cover letter, including research plan
（2）CV
（3）Certificates, Attestations

Starting Date:01.06.2021
Length of employment:20 months
Working time（hrs./week）:40 hrs/week