"Knowledge becomes health" - we are filling this motto with life every day, developing new ideas and improv-ing old-established knowledge. The University Hospital Frankfurt has existed since 1914. Our around 8,500 employees contribute with their skills and knowledge to the 33 specialist clinics, theoretical clinical institutes, and administrative departments. The close connection of health care with research and teaching, as well as a climate of collegiality, internationality, and cross-professional cooperation characterize the university hospital.

Postdoctoral Researcher in Computational Neuroimaging

(We are targeting applicants of all genders)
Full time | limited to 3 years with possibility to extension | Announcement number: 977-2024

We are looking for a Postdoctoral Researcher in Computational Neuroimaging with focus on neuroimaging genetics/transcriptomics to join the research group of Prof. Dr. Christine Ecker in the Department of Child and Adolescent Psychiatry at the Goethe University Hospital in Frankfurt. 

The successful applicant will be involved in the transregional collaborative research grant (TRR 379) “Neurobiology of Aggression – a Transdiagnostic Approach in Mental Health Disorders”, funded by the DFG.

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Your role

  • Conduct state-of-the-art research into the molecular underpinnings of aggression in mental health conditions and work as part of the DFG-funded TRR 379 on Aggression in Mental Health Conditions (https://www.trr379.de) combining basic research with clinical applications.
  • Develop novel analytical frameworks for integrating Magnetic Resonance Imaging (MRI) data with genetic and transcriptomic data to stratify mental health conditions.
  • Disseminate resulting software for use within the wider scientific community.
  • Apply these novel analytical techniques to existing large-scale imaging genetics cohorts (clinical and non-clinical).
  • Teaching and supervision activities, knowledge dissemination, and publication of results in international peer-reviewed scientific journals.

Who you are

  • PhD in (Bio)informatics, Computer Science, or Biomedical Engineering
  • Strong programming skills in R, C++, Python, and MATLAB.
  • Interest in big data analytics
  • Knowledge in computational neuroimaging techniques and analysis using software packages like FreeSurfer, or expertise in conducting genetic analyses; e.g. Genome-Wise Association Studies (GWAS) and computation of polygenic risk scores (PRS) is of advantage
  • Experience in big data analysis and machine learning is desired, though not essential.
  • Due to legal regulations, valid prood of measles immunity / measles vaccination is required

What we offer

  • Collective agreement: In addition to an attractive salary based on a collective agreement with an annual special payment, you benefit from long-term security through company pension schemes
  • Mobility: Free public transport in all Hessen (Free State Ticket Hessen)
  • Campus: Our attractive university hospital campus offers a modern cafeteria, various cafes, and opportunities to rest in numerous green spaces. A walk on the riverside of the Main offers relaxation during breaks
  • Work-Life-Balance: Part-time employment is possible, we offer childcare in our daycare center (if you have any questions, please contact UKF-Familienservice), child care during holidays
  • Health Promotion: Benefit from our attractive health offers. We offer regular online and face-to-face courses on nutrition, relaxation, sports and exercise.
  • Professional development: Internal and external training for your professional development
  • Any questions? Many answers can be found in our FAQs for new employees. If you have any further questions, please do not hesitate to contact us.

Women are underrepresented in these positions at the University Hospital Frankfurt. Applications from women are therefore particularly welcome. Disabled applicants are preferred if they have the same personal and professional qualifications.

Join our team

Use the time until January 7, 2025 to apply. Please submit your online application including a possible starting date and your salary expectations. For further information regarding the position and project, please contact Prof. Christine Ecker via mail: christine.ecker@kcl.ac.uk.  

Apply now

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