18.07.2022

Post-doctoral researcher (m/f/d)

Leibniz Institute for Resilience Research (LIR), Mainz

The Leibniz Institute for Resilience Research (LIR) gGmbH is an independent research institute aiming for a better understanding of resilience, i.e., an individual’s ability to successfully adapt to stress or adversity without developing stress-related psychiatric conditions. It investigates the mechanisms that mediate resilience, develops resilience-promoting interventions and implements effective interventions in healthcare in companies, schools or universities.

Within the third-party funded project "FAMILY" (EU Horizon program), we are looking for a

Post-doctoral researcher (m/f/d)

(100 % position, currently 38,5 hours/week)

limited in time until 30/09/2027. The temporary employment is based on the regulations of the Law on Temporary Employment Contracts in Science (WissZeitVG). Payment is based on EG 13 TV-UM (collective agreement of the University Medical Center Mainz).

The EU project FAMILY tries to understand and predict the intergenerational transmission of mental illness and to unravel mechanisms of resilience in children being raised by parents suffering from mental illness. It involves close cooperation with Erasmus University Medical Center Rotterdam (coordinator), Harvard Global, University College London, University of Zurich, and other international partners. A specially close cooperation is foreseen with the research groups of Prof. Christian Beckmann and Prof. Emma Sprooten at the Donders Institute, Radboud University Medical Center Nijmegen. The project researchers of these groups will form an interactive working group. Applicants have the possibility to apply at one of these sites only; provided their consent, application documents will be shared and the selection process will be commonly organized by the sites.

Your tasks include:

  • Statistical analysis of mental health data sets (including multi-modal and longitudinal data sets from cohorts)
  • Adaptation of existing analysis methods
  • Analysis planning and results interpretation on the basis of subject-matter knowledge on mental health / disease mechanisms (biological, psychological, social)
  • Organization of scientific and methodological exchange within the FAMILY project consortium
  • Cooperation with the groups of C. Beckmann and E. Sprooten, Nijmegen
  • Scientific publication and dissemination

Your profile:

  • completed scientific university studies in the field of data science, bioinformatics, biostatistics, psychology, biology, behavioral science, neuroscience, medicine, or related disciplines (diploma/master's degree) and a PhD ideally in the field of mental health-related research
  • sound methodological knowledge and experience in statistical analysis
  • previous experience in the preparation of scientific publications
  • very good written and spoken English skills
  • ability to work independently and on your own responsibility
  • high level of communication skills, distinctive team behavior, flexibility and ability to work under pressure, precise and forward-looking way of working, systematic working style, organizational skills, own initiative

We offer:

  • a challenging, highly dynamic, and science-driven working environment
  • flat hierarchies, responsibility, and a great deal of creative freedom
  • international cooperation and a rich network of scientific partners in Germany and abroad
  • job ticket (very good public transport connections)
  • flexible working hours
  • VBL - pension scheme for non-civil servants in the public sector

For research related questions, please contact Prof. Dr. Raffael Kalisch, group leader (raffael.kalisch(at)lir-mainz.de). For questions regarding employment and salary details at the LIR gGmbH, as well as compatibility of family and work, please contact Frau Leena Hall, Head of HR (leena.hall(at)lir-mainz.de).

Please send us your detailed application by e-mail only and in one coherent PDF file, stating your earliest possible start date, by 01/09/2022 to: recruiting(at)lir-mainz.de. Please state the reference number LIR_55 in the subject line. Indicate if you would consider also working for the partner groups at Radboud University Medical Center Nijmegen (The Netherlands) and whether, in this case, you agree that your application files will be shared with this institution for the purpose of a coordinated selection process.

Women shall be given preferential consideration in recruitment in the case of equivalent suitability, qualification and professional performance, insofar as and as long as there is an under-representation. This does not apply if there are such serious reasons in the person of an applicant that they outweigh women, even taking into account the requirement for equality. Severely disabled applicants with the same qualifications will be given preference (proof required).

www.lir-mainz.de

Informarion on data protection: https://lir-mainz.de/datenschutz