Humboldt-Universität zu Berlin - Abteilung Haushalt und Personal

Humboldt-Universität zu Berlin | Universitätsverwaltung | Abteilung Haushalt und Personal | Personalangelegenheiten | Stellenausschreibungen | Research fellow (m/f/d) in the field of molecular psychology limited to a max. of 6 years in accordance with WissZeitVG - E 13 TV-L HU

Research fellow (m/f/d) in the field of molecular psychology limited to a max. of 6 years in accordance with WissZeitVG - E 13 TV-L HU

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Kennziffer
AN/319/25
Kategorie(n)
Wissenschaftliches Personal
Anzahl der Stellen
1
Einsatzort

Faculty of Life Sciences – Department of Psychology

Bewerbung bis
24.09.25
Text

Our research group investigates the human brain as a dynamic, interconnected system - from its molecular genetic foundations to its functional organization and behavioral implications. We use multimodal neuroimaging, including structural MRI, functional MRI, diffusion-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology, cognitive neuroscience, and data science, our mission is to better understand the network structure of the human brain and how it contributes to cognition, aging, and mental health.

 

Job description:

  • scientific services in teaching and research, esp. independent research in the field of EEG and/or large-scale neuroimaging data (MRI, genetics, UK Biobank) and teaching in biological/cognitive psychology and neuroscience at the undergraduate and graduate level
  • publication of research findings
  • supervision of students and doctoral researchers
  • tasks for personal scientific qualification (habilitation)

 

Requirements:

  • completed scientific university education and PhD in psychology, neuroscience, computer science, or a related discipline (with preferably above-average academic performance)
  • advanced expertise in at least one of the following areas: EEG, multimodal MRI, or imaging genetics, documented through peer-reviewed publications
  • excellent programming skills (e.g. Python, MATLAB, R)
  • experience working with distributed computing resources (e.g. cluster computing under Linux)
  • proficiency in English, both written and spoken (at least C1)
  • German is an advantage
  • strong sense of responsibility, independent work style, scientific curiosity, and ability to work in a team
  • willingness to be regularly on-site in Berlin, with flexible work arrangements

 

We offer:

  • a fully funded postdoctoral position in a research-active and methodologically ambitious team
  • opportunity to lead the development of a new high-density EEG lab, including MR-compatible source localization setup (64 active electrodes, shielded chamber)
  • access to top-tier research infrastructure, including Siemens PrismaFit 3T MRI and high­performance computing clusters
  • integration into large-scale neurogenetic datasets (e.g., UK Biobank, HCP)
  • flexible and mobile working, but a meaningful on-site presence in Berlin is expected to foster collaboration, lab involvement, and exchange
  • freedom to shape your research profile while contributing to core projects
Bewerbung an

Please send your application (including cover letter, curriculum vitae and relevant certificates) until 24th September 2025, referencing the job ID AN/319/25 to Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Psychology, Prof. Dr. Sebastian Markett (located: Rudower Chaussee 18, 12489 Berlin), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file to julia.hammer@hu-berlin.de.

Further enquiries can be addressed to Prof. Dr. Sebastian Markett: sebastian.markett@hu-berlin.de.

The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

Data protection information on the processing of your personal data in the context of the tender and selection procedure can be found on the homepage of Humboldt-Universität zu Berlin: https://hu.berlin/DSGVO.

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.