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Richard Gao

1 week ago

Funded PhD Positions in Computational Neural Dynamics, Machine Learning, and Artificial Intelligence Goethe University Frankfurt in Germany

I am recruiting PhD students in computational neural dynamics, machine learning, and AI at Goethe University Frankfurt.

Goethe University Frankfurt

Germany

Dec 31, 2025

Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Electrical Engineering
Artificial Intelligence
Computational Neuroscience
Cognitive
Python
Statistics
Neuronal Circuits
- Neuroscience
Brain Circuits
Statistical Data Analysis

Description

Goethe University Frankfurt is offering two fully funded PhD positions in Computational Neural Dynamics, Machine Learning, and Artificial Intelligence. The positions are part of the Institute of Computer Science, Center for Cognition and Computation, under the supervision of Professor Richard Gao. The research group focuses on the intersection of computational neuroscience and AI, studying circuit mechanisms and functional roles of brain dynamics using computational methods such as machine learning, simulator models, signal processing, and statistical data analysis. The group collaborates with experimental and computational colleagues and aims to bridge neurobiology and cognition with AI, leveraging insights from brain science to inform artificial intelligence. Successful candidates will join a vibrant academic community in Frankfurt, with opportunities for collaboration at multiple universities and Max Planck Institutes. The working language is English, and the group encourages applications from diverse backgrounds. The positions are funded for three years at 75% E13 TV-G-U, m/f/d, providing a competitive stipend according to German university standards. Applicants should have a master's degree or equivalent research experience in computational neuroscience, computer science (ML/AI), bio/electrical/computer engineering, or a related field. Required skills include strong quantitative and scientific programming abilities in Python and relevant libraries. Candidates must have prior experience in at least one of the following: computational modeling of neural circuits, training artificial neural networks in PyTorch or similar frameworks, or signal processing and statistical data analysis. Experience in multiple areas is preferred. An interest in neurobiology, brain circuits, and cognition is essential, along with a desire for independent research and a collaborative group environment. Proficiency in English is required; German is not necessary. To apply, candidates should prepare a single PDF containing a statement of interest, CV, transcripts, GitHub account or project link, and contact information for two referees. Applications should be sent to [email protected] with the subject line [PhD Application] Firstname Lastname. The application deadline is December 31, 2025, or until the positions are filled. The expected starting date is February 2026 (flexible). For more details, visit gao-unit.com/join-us .

Funding

The PhD positions are funded for 3 years at 75% E13 TV-G-U, m/f/d. Funding covers stipend/salary according to German university standards. No explicit mention of tuition coverage, but positions are fully funded as per German PhD norms.

How to apply

Prepare a single PDF containing a statement of interest, CV, transcripts, GitHub account or project link, and contact information for two referees. Email the PDF to [email protected] with the subject line [PhD Application] Firstname Lastname. Review details at https://gao-unit.com/join-us.

Requirements

Applicants must hold a master's degree or equivalent research experience in computational neuroscience, computer science (ML/AI), bio/electrical/computer engineering, or a related field. Strong quantitative and scientific programming skills in Python and relevant libraries are required. Prior experience in at least one of the following is mandatory: computational modeling of neural circuits, training artificial neural networks in PyTorch or similar frameworks, or signal processing and statistical data analysis (experience in multiple areas is preferred). Candidates should have an interest in neurobiology, brain circuits, and cognition, and demonstrate a desire for independent research while contributing to a positive group environment. Strong written and spoken English is required; German proficiency is not necessary.

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