Michael Alvarez

PhD opportunities are open for 2027 entry at the Centre for Human-Inspired Artificial Intelligence (CHIA), University of Cambridge . The post highlights research in human-inspired AI and a specific project area in machine learning causal inference , with applications to climate impacts and society . The opportunity is connected to Cambridge faculty across multiple schools and to collaborative work with Prof. Michael Alvarez at the Linde Center for Science, Society, and Policy (LCSSP), Caltech . The poster, Ramit Debnath , says they will take 1–2 PhD students this year. The post is especially relevant for students with strong interests in data science , AI , causal inference , and interdisciplinary research linking technology and societal impact. Key requirements mentioned by the poster include strong data science skills, knowledge of ML causal inference, the ability to work independently, a solid publication profile, and systems thinking. Funding information : the post points to separate funding deadlines and specifically mentions Gates Cambridge with a US round deadline of 14 October 2026 . No stipend or tuition details are given in the post itself, so applicants should consult the linked funding pages and application information. Deadline : the main application deadline is 6 December 2026 . How to apply : use the application information link, review the funding deadlines, and check the group/project links if you want to work directly with Ramit Debnath. Prepare an application that clearly matches the AI, causal inference, and climate/society research focus.