This weekly summary highlights multiple PhD and postdoctoral opportunities in artificial intelligence, machine learning, reinforcement learning, multimodal learning, and related fields at leading institutions worldwide. Positions are available at the Center for Brain and Cognition (University Pompeu Fabra, Barcelona), La Rochelle Université (France), Boston College (US), and University College London (UK), among others.

Key research areas include reinforcement learning, neural networks, cognitive and computational neuroscience, multimodal document analysis, natural language processing, optimisation, causal AI, and graph generative models. Many positions are fully funded, with stipends (e.g., $45,000/year at Boston College), tuition coverage, and additional benefits such as mobility allowances and research budgets for MSCA-funded roles.

Supervisors for these positions include Dr. Ruben Moreno-Bote (University Pompeu Fabra), Dr. Antoine Doucet and Dr. Rejwanul Haque (La Rochelle Université and South-East Technological University), Dr. Momchil Tomov (Boston College), and Dr. Laura Toni, Prof. Mirco Musolesi, and Dr. Francesca Boem (University College London). Applicants are expected to have strong backgrounds in computer science, mathematics, statistics, physics, or machine learning, with some positions requiring proficiency in Python and experience in optimization or neuroscience. Eligibility criteria may include a master's degree and, for MSCA positions, limited prior stay in France.

Application deadlines vary, with some as early as December 12, 2025 (La Rochelle Université), December 15, 2025 (Boston College), and January 5, 2026 (UCL). Interested candidates should review the specific position links for detailed application instructions, which typically involve submitting a CV, academic transcripts, and, in some cases, contacting the supervisor directly. For more information, visit the provided links to each lab or university's official vacancy page.

These opportunities offer a chance to work in stimulating, multidisciplinary environments and contribute to cutting-edge research in AI, machine learning, and neuroscience. Students will benefit from professional development, international collaboration, and access to leading research facilities.