Doctoral Researcher in Computational Neuroimaging

at  Universittsklinikum Frankfurt

Frankfurt am Main, Hessen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate01 Sep, 2024Not Specified02 Jun, 2024N/AGood communication skillsNoNo
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Description:

PART TIME (70%) | LIMITED TO 3 YEARS WITH POSSIBILITY OF EXTENSION | ANNOUNCEMENT NUMBER: 449-2024

We are looking for a doctoral Researcher in Computational Neuroimaging with focus on Neuroimaging Genetics and 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 am Main. The successful applicant will be involved within the LOEWE Center DYNAMIC (Dynamic Network Approach of Mental Health to Stimulate Innovations for Change), which is funded by the State of Hesse.
For an insight into the University Hospital Frankfurt, click here.

Your role

  • Conduct state-of-the-art research into the molecular underpinnings of mental health conditions and work as part of DYNAMIC and several ongoing European research collaborations combining basic research with clinical applications.
  • Develop novel analytical frameworks for integrating Magnetic Resonance Imaging (MRI) data with genetic transcriptomic data to enhance network-based approaches for stratifying mental health conditions.
  • Apply techniques to existing and newly acquired large-scale cohorts (clinical and non-clinical) to stratify mental health conditions for personalized medicine approaches.

Who you are

  • Master’s degree in Bioinformatics, Computer Science, Biomedical Engineering, or Computational Neuroscience with an interest in big data analytics.
  • Strong programming skills in R, C++, Python, or MATLAB.
  • The ideal candidate has knowledge in (i) machine learning, (ii) MRI data analysis, and/or (iii) expertise in conducting genetic analyses; e.g., Genome-Wide Association Studies (GWAS)
  • Due to legal regulations, valid proof 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 Familienservice@ukffm.de), 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 June 28, 2024 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. Dr. Ecker (christine.ecker@ukffm.de)

Responsibilities:

  • Conduct state-of-the-art research into the molecular underpinnings of mental health conditions and work as part of DYNAMIC and several ongoing European research collaborations combining basic research with clinical applications.
  • Develop novel analytical frameworks for integrating Magnetic Resonance Imaging (MRI) data with genetic transcriptomic data to enhance network-based approaches for stratifying mental health conditions.
  • Apply techniques to existing and newly acquired large-scale cohorts (clinical and non-clinical) to stratify mental health conditions for personalized medicine approaches


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Hospital/Health Care

Pharma / Biotech / Healthcare / Medical / R&D

Health Care

Graduate

Proficient

1

Frankfurt am Main, Germany