155 FB 8 Research Associate (m/f/d)

Uni Osnabrueck; Osnabrück; Vor Ort; EUR 40.000 - 52.000; Vollzeit

Zusammenfassung

Osnabrück University invites applications for a Research Associate (m/f/d) in the Cognitive Modelling research group. The position is temporary for three years (Salary level E 13, TV-L 65%) and will commence at the earliest date.

The candidate will complement ongoing research on adaptive learning, decision-making, and interoception. Responsibilities include teaching, supervising students, and pursuing external funding opportunities.

Qualifikationen

• Master's degree or equivalent in cognitive science, computational neuroscience, physics, mathematics, statistics, psychology, or related fields.
• Strong quantitative and programming skills (Matlab or Python) to design experiments, analyze data, and run simulations or advanced statistics.
• Excellent English communication skills and a collaborative mindset.
• At least one of: experience with neuromodulation (TMS/TUS), EEG data analysis, cognitive/biophysical models.

Aufgaben

• Teach Cognitive Science courses at B.Sc. and M.Sc. level (2.6 hours/week).
• Contribute to group research and actively acquire third‑party funding.
• Co‑supervise and advise less experienced group members on research projects.
• Opportunity to work towards a PhD or Habilitation during working hours.

Kenntnisse

Quantitative analysis

Programming (Matlab/Python)

Ausbildung

Master's degree or equivalent in related fields

Tools

Matlab

Python

Jobbeschreibung

The Cognitive Modellingresearch group (Prof. Dr. Lilian Weber) of theInstitute of Cognitive Science is seeking to appoint a

ResearchAssociate (m/f/d),
(Salary level E 13, TV-L 65%)

to commence work at the earliest possible date. This is a temporary, three-year position.

The successful candidate will complement existing research of the Cognitive Modelling group, in particular in connection with the group’s past and ongoing research into the neurocognitive mechanisms supporting adaptive learning and decision-making and the interoceptive basis of reward and motivation

The successful candidate will contribute to the group’s academic activities, including the active acquisition of third‑party funding, presenting in lab meetings and journal clubs, and co‑supervising and acting as a source of advice to less experienced group members conducting other research projects

The position involves teaching Cognitive Science courses at B.Sc. and M.Sc. level (2.6 hours/week)

Opportunity to work towards a PhD or Habilitation (venia legendi) during working hours

Requirements:

• Strong academic background (Master's degree or equivalent) in cognitive science, computational neuroscience, physics, mathematics, statistics, psychology, or other related fields
• Strong quantitative and programming skills ( e.g. , Matlab or Python) to design experiments, analyse data, and to conduct computational simulations and/or advanced statistical analysis
• Excellent communication skills in English
• A collaborative mindset and the ability to work responsibly within a team
• At least one of the following:
  • Evidence of prior experience in running neuromodulation studies including TMS and TUS in human participants
  • Evidence of prior experience in the collection and analysis of EEG data in human participants
  • Evidence of prior experience in developing and applying cognitive models ( e.g. , Bayesian learning models, reinforcement learning, drift diffusion models) to data from human participants
  • Evidence of prior experience in developing and applying biophysical models ( e.g. , dynamic causal models, dynamical systems theory) to data from human participants

Additional Qualifications:

• A research project that can be connected to either flexible cognition in changing environments or to research on the interoceptive basis of reinforcement learning is especially appreciated.

Osnabrück University is a family-friendly university and is committed to helping working parents balance their family and working lives.

Osnabrück University is committed to equal opportunities, diversity, and the professional equality of the genders. We promote a culture of science and work that enables fair opportunities and a discrimination‑free environment for learning, teaching, and working. In doing so, we strive for fair representation of all social groups among our staff and work to counteract underrepresentation.

Applications from people with severe disabilities and those treated as equivalent under applicable law will be given preferential consideration where candidates are equally qualified.

to arrive by October 14, 2026.

We look forward to receiving your application.