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Dominik Bach

2 weeks ago

PhD Opportunity in Cognitive-Computational Neuroscience and Machine Learning at University of Bonn University of Bonn in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 1, 2026

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Country

Germany

University

University of Bonn

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Keywords

Computer Science
Psychology
Deep Learning
Biology
Artificial Intelligence
Python Programming
Neuropsychology
Motion Capture
Computational Modelling
Econometric
Statistics
cognitive neuroscience
Machine learning

About this position

PhD opportunity at the Centre for Artificial Intelligence and Neuroscience (CAIAN), University of Bonn, in cognitive-computational neuroscience and machine learning.

The project, led by Prof. Dominik Bach, focuses on data-driven understanding of human action planning using VR trackers, optical cameras, and motion-capture systems. The successful candidate will apply unsupervised machine learning to movement data and develop computational models of action sequences to test hypotheses about planning and behavior.

This is an interdisciplinary research environment at the interface of neuroscience, computer science, and psychology. CAIAN is part of the University of Bonn’s transdisciplinary research landscape and the Bonn-Cologne node of the Bernstein Network Computational Neuroscience.

Eligibility highlights: MSc in Computer Science, Computational Neuroscience, Applied ML, Physics, or a related field; strong Python and machine learning skills; experience with deep neural networks and applied statistics; interest in human behavior. Prior research experience is a plus.

What is offered: interdisciplinary supervision, training in ML and computational modeling, and opportunities for high-profile publications and conference presentations. No explicit stipend amount or tuition information is provided in the post.

Application: send a single PDF containing your CV and a 1-page motivation letter to [email protected]. The post indicates an Autumn 2026 start and links to further information.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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