Cognitive Science at Osnabrück

Our lab contributes to the interdisciplinary degree programs in Cognitive Science offered at the Institute of Cognitive Science (IKW) at Osnabrück University:

The curriculum bridges psychology, artificial intelligence, neuroscience, computational linguistics, and philosophy of mind. We offer courses in cognitive modelling, computational psychiatry, neurostimulation, and empirical research methods. Our teaching connects formal computational theory with hands-on experimentation, preparing students to formulate generative models, analyse complex behavioural and neural data, and practice open, reproducible science.

Current Teaching (WiSe 2026/27)

Lecture WiSe 2026/27

Academic Writing in the Empirical Domains of Cognitive Science

Instructors: Dr. phil. habil. Annette Hohenberger, Janna Gerdes, M.A.

Lecture WiSe 2026/27

Foundations of Cognitive Science

Instructor: Dr. phil. habil. Annette Hohenberger

Lecture and Seminar WiSe 2026/27

Introduction to Statistics and Data Analysis

Instructor: Prof. Dr. Lilian Weber

Seminar WiSe 2026/27

Cognitive Development

Instructor: Dr. phil. habil. Annette Hohenberger

Seminar WiSe 2026/27

Cognitive Modelling: Generative Models of Behaviour

Instructor: Dr. Frank Hezemans

Seminar WiSe 2026/27

Social Cognition

Instructor: Dr. phil. habil. Annette Hohenberger

Seminar WiSe 2026/27

What is a Cognitive Scientist

Instructor: Prof. Dr. Lilian Weber

Blockseminar WiSe 2026/27

Noninvasive Brain Stimulation using Transcranial Focused Ultrasound

Instructor: Prof. Dr. Lilian Weber

Study Project WiSe 2026/27

Study Project: Transcranial focussed ultrasound for computational cognitive neuroscience of affect (Part 2)

Instructor: Prof. Dr. Lilian Weber

BSc & MSc Theses

We supervise Bachelor and Master theses for Cognitive Science students interested in cognitive and biophysical modelling, cognitive neuroscience, and non-invasive brain stimulation.

Research Areas

  • Generative Models of Behavior: Formalizing learning, decision-making, and affective processes using Bayesian inference and reinforcement learning frameworks.
  • Neuromodulation: Investigating causal neural mechanisms using transcranial focused ultrasound (TUS), pharmacological perturbations, or sleep deprivation.
  • Neuroimaging & Electrophysiology: Tracking behavioral, neural (EEG), and physiological signatures (ECG etc) of cognitive processes; using structural MRI and PETRA images to plan ultrasound stimulation experiments.
  • Computational Psychiatry: Applying generative models to understand cognitive alterations across mental health (psychosis, affective disorders, and others).

For inspiration, you can also find a list of completed BSc and MSc theses if you scroll down, and a list of ongoing thesis projects on our Team page.

How to Apply

If you are interested in writing your thesis with us, there are two possibilities:

  1. Request available topics: Email Prof. Lilian Weber to request our current list of available thesis projects. If a project matches your background, reach out to the designated supervisor with your CV and relevant skills.
  2. Propose your own idea: If you have a specific research question aligned with the lab’s directions, send a short abstract describing your idea and proposed methodology to your preferred supervisor.

For detailed information on expectations, supervision meetings, deliverables, and reproducibility standards, see our Thesis Guidelines & Application Procedure.

Completed Theses

2026

8
  • BSc The impact of NMDA antagonism on the mismatch negativity
    Escha Sarwar · Supervised by Prof. Lilian Weber
  • BSc Social-cognitive development in early childhood: How caregiving, peer relations and environmental conditions shape theory of mind, emotion understanding and perspective-taking
    Maylin Demir · Supervised by Dr. phil. habil. Annette Hohenberger
  • MSc Integrative Signatures of Valence in Homeostatic Reinforcement Learning: A Neurocomputational Study
    Deniz M. Gun · Supervised by Prof. Lilian Weber
  • BSc Dissociable Roles of Ventral and Dorsal Striatum in Reinforcement Learning: A Theoretical Analysis with Implications for Task Design
    Ruby Wright · Supervised by Prof. Lilian Weber
  • BSc Motivational mechanisms in self-affirmation: a neurocognitive integration
    Franziska Plate · Supervised by Dr. phil. habil. Annette Hohenberger
  • MSc Pattern matching or intuitive physics? Comparing the core knowledge of large language models and children
    Eva Kuth · Supervised by Dr. phil. habil. Annette Hohenberger
  • MSc Anger, outrage & denial facing the climate crisis. An interpretative phenomenological analysis of young people's lived experiences
    Franca Klausing · Supervised by Dr. phil. habil. Annette Hohenberger
  • MSc Heteronormativity and violence
    Benedikt Küppers · Supervised by Dr. phil. habil. Annette Hohenberger

2025

1
  • MSc Bearing of cognitive load on reformulation behavior: a quasi-experimental study on information retrieval
    Boon Tao Chew · Supervised by Dr. phil. habil. Annette Hohenberger