Are you a researcher who wants to do serious machine learning in a domain that matters? We are seeking an exceptional Postdoctoral Research Associate to join MindCraft, an innovative programme at Imperial College London developing AI-guided smartphone-based mental health interventions for adolescents. You will work at the intersection of machine learning, computational psychiatry, digital phenotyping, and real-world intervention research — building mathematically grounded, personalised AI systems that can infer mental state from multimodal behavioural data and learn to deliver the right intervention at the right time.
You will play a central role in developing the project’s computational and machine learning core. Your work will include:
Depending on your strengths, the role may lean more heavily toward probabilistic and dynamical modelling, reinforcement learning, multimodal representation learning, or computational behavioural modelling.
We are especially interested in candidates who combine mathematical maturity, serious implementation ability, and scientific curiosity about mind and behaviour. You should hold, or be close to completing, a PhD in machine learning, computer science, computational neuroscience, computational psychiatry, applied mathematics, statistics, engineering, physics, or a related quantitative discipline.
You should have expertise in one or more of: probabilistic modelling, time-series modelling, latent-variable models, state-space models, reinforcement learning, sequential decision-making, representation learning, Bayesian methods, or computational models of behaviour. Strong Python and deep learning framework skills (PyTorch, JAX, or TensorFlow) are essential. Experience with healthcare, mental health, or mobile sensing data is highly desirable but not required.
Research Associate in Machine Learning and Computational Psychiatry for Digital Mental Health Interventions • London, GB
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