Research Associate

## Responsibilities - Contribute to cutting-edge research in computational neuroscience, developing algorithmic foundations for closed-loop experimentation. - Take intellectual ownership of core scientific questions, developing new ideas and driving collaborative projects towards significant publications. - Collaborate with colleagues across a wide range of specialties, including computational neuroscience, machine learning, probabilistic programming, robotics, and neurotechnology. - Design and implement software pipelines to embed models into closed-loop experimentation pipelines. - Mentor and work with PhD and MSc students working on related topics. ## Requirements - A Ph.D. (or equivalent experience) in Machine Learning, Computer Science, Mathematics, Physics, Engineering, Computational Neuroscience, or a related field. - A track record of publications in top-tier journals (e.g. ELife or broad-interest science venues) and/or conferences in AI (e.g. NeurIPS, ICML, ICLR), or allied areas. - A strong background in machine learning, signal processing, and algorithm development. - Demonstrated experience in dynamical systems (state-space models). - Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, or similar). - Proven experience in software development (e.g. active GitHub profile with past projects, released PyPI packages). - Effective communication and teamwork abilities, and the ability to communicate across disciplines. ## Nice to Have - Experience working with electrophysiological or optogenetic recordings data, or any biological data. - A track record of successful interdisciplinary collaboration, evidenced by joint publications or projects that integrate computational modelling with biological data collection. - Knowledge of dynamical system identification techniques (e.g., Kalman filter learning, Dynamic mode decomposition). ## Benefits - Full time – 35 hours per week - Fixed term contract - 36 months - Opportunity to influence the trajectory of the group's work and contribute significantly to emerging NeuroAI research directions. - No formal teaching duties, allowing full flexibility for conducting research.