Goethe University Frankfurt is inviting applications for two PhD positions in the research group led by Assistant Professor Richard Gao, focusing on computational neuroscience, machine learning, and AI4Neuro. The group operates at the intersection of computational neuroscience and artificial intelligence, studying brain dynamics and leveraging computational methods such as machine learning, simulator models, signal processing, and statistical data analysis. The research aims to bridge neurobiology and cognition with advances in AI, contributing to both fundamental understanding and practical applications. Successful candidates will join a vibrant academic environment in Frankfurt, a major European transportation hub with a diverse international community. The group collaborates with multiple universities and Max Planck Institutes, and is part of the ICNF Network. The working language is English, and the broader academic community is also English-speaking. Applicants should hold 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 areas: computational modeling of neural circuits, training artificial neural networks in PyTorch or other deep learning frameworks, or signal processing and statistical data analysis (with preference for experience in multiple areas). Interest in neurobiology, brain circuits, and cognition is essential, along with a desire for independent research and strong English communication skills. German proficiency is not required. The positions are funded for three years at 75% E13 TV-G-U, with a monthly net salary of approximately 2,200 Euro. The expected start date is February 2026, with some flexibility. The application deadline is December 31, 2025, or until the positions are filled. To apply, candidates should email [email protected] with the subject line '[PhD Application] Firstname Lastname' and attach a single PDF containing a statement of interest (1 page max), CV, transcripts, GitHub account or project repository link, and contact information for two references. The group strongly encourages applications from candidates of diverse gender, ethnicity, and socioeconomic backgrounds. For more information, visit the group’s website or contact Richard Gao directly by email.