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Forschungszentrum Jülich

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PhD Position in Multi-Scale Comparisons of Concerted Activity and Causality in Cortical Neural Activity Forschungszentrum Jülich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

Germany

University

Forschungszentrum Jülich

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Keywords

Computer Science
Data Science
Biology
Mathematics
Time Series Analysis
Electrophysiology
Neuropsychology
Statistics
Physics
cognitive neuroscience

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About this position

PhD opportunity in computational neuroscience, data science, causal AI, and time-series analysis at Forschungszentrum Jülich in Germany, with a strong connection to RWTH Aachen University. The project is hosted at the Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6) and is part of the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE).

The research focuses on multi-scale comparisons of patterns of concerted activity and causality in cortical neural activity. The successful candidate will analyze multi-scale electrophysiological data, build stochastic and deterministic simulations, extend theoretical frameworks, and develop methods linking functional connectivity from neuronal spike activity to mesoscopic cortical dynamics. The work sits at the interface of neuroscience, computational modeling, and causal discovery for complex time-series data.

Supervision and collaboration involve Prof. Sonja Grün (Statistical Neuroscience group, Forschungszentrum Jülich), Dr. Michael Denker (IAS-6, Forschungszentrum Jülich), and co-supervision by Prof. Adèle Helena Ribeiro (Institute for Causal and Explainable AI in Life Sciences, RWTH Aachen University). The environment is highly international and interdisciplinary, with opportunities for scientific mentoring, conferences, software development, reproducible science, and graduate training through HDS-LEE.

Eligibility highlights: Master’s degree in physics, mathematics, computer science, or a related field; programming skills in Python/C++ or similar; strong analytical and organizational skills; English proficiency at B2 level or higher; neuroscience experience is helpful but not required.

Funding: TVöD-Bund pay group 13 at 75%, plus year-end bonus and capital-forming benefits. The position is fixed term for 3+1 years.

Location: Jülich, Germany. Deadline: 2026-09-30 (or until filled).

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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