Postdoc in Machine Learning and Neuroimaging

University of Tubingen

Postdoc in Machine Learning and Neuroimaging (f/m/d, 100%, TV-L 13)

Tübingen Center for Mental Health, Department of Psychiatry and Psychotherapy

Application deadline : 15.10.2022

The University of Tübingen and Tübingen University Hospital invite applications for a position at the Tübingen Center for Mental Health, Department of Psychiatry and Psychotherapy, as a Postdoc in Machine learning, Neuroimaging and Psychiatry.

Postdoc in Machine Learning and Neuroimaging (f/m/d, 100%, TV-L 13)

The Postdoc will be part of the Laboratory for Mental Health Mapping (PI: Thomas Wolfers; and will analyse large-scale multimodal neuroimaging, electrophysiological, genetic, clinical, and behavioural data using machine learning techniques. Normative modelling type of approaches will be further developed and applied to various data modalities. The candidate will develop novel techniques using deep learning, autoencoders and other machine learning approaches. She/he will be embedded into an international team working on such approaches and gets the opportunity to visit international collaborators.

Are you a neuroscientist with excellent data analysis skills? Or a machine/deep learning expert with a strong interest in neuroscience? Then this position may be for you. Please contact the PI for more information.

Required qualifications:

  • A completed or nearly completed PhD in neuroscience, computer science, physics or a related discipline and a strong interest in neuroscience and psychiatry research
  • Excellent skills in data analysis / multivariate statistics / machine learning with proficiency in Python and ideally other programming languages.
  • Profound scientific writing skills and scientific rigor
  • Good team spirit and collaborative personality
  • Ambitious and highly motivated for pursuing a career in science
  • Fluent in written and spoken English

Desirable specific expertise:

  • Expertise with large-scale brain imaging analysis and/or electrophysiological analyses
  • Expertise with Deep Learning on medical images
  • Expertise with high performance cluster / cloud computing frameworks
  • Experience in interdisciplinary research and working in collaborative teams

We offer: A 3 to 5 years contract with possibility for extension. Flexible start date (e.g., if you are close to finishing your PhD). Possibility for research stays abroad with core collaborators

Application: Please submit your application to Dr. Thomas Wolfers (dr.thomas.wolfersspam before the deadline. After the initial screening process, short-listed candidates will be invited to a digital interview.
Your application must include: A motivation letter; a CV summarizing education, relevant work experience, awards, grants, etc.; a complete track record of publications. Please indicate up to three papers that you think best reflect your proficiency; contact details of 2 references Salary is paid according to TV-L 13 (collective wage agreement for the Public Service of the German Federal States, 100%) in addition to all the customary benefits granted to employees working in Public Services. Severely handicapped persons with equal qualifications are given preferential consideration. The University of Tübingen is committed to increase the percentage of female scientists and therefore encourages women to apply for this position. The Administration of the University Hospital is responsible for all employment matters. Personnel appointments will be made pursuant to the fundamental stipulations of the legal statutes for universities in Germany. Interview expenses are not covered.
In case of questions please contact Dr. Thomas Wolfers, E-Mail: dr.thomas.wolfersspam 

Application deadline is the 15.10.2022