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Ramit Debnath

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PhD in Human-Inspired AI and ML Causal Inference for 2027 Entry at University of Cambridge University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The post references funding deadlines and Gates Cambridge funding, suggesting funded PhD opportunities may be available, but it does not state a specific stipend, tuition coverage, or whether the position is fully funded. Applicants should check the linked funding information and Cambridge application pages.

Deadline

Dec 6, 2026

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Country

United Kingdom

University

University of Cambridge

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Keywords

Computer Science
Data Science
Environmental Science
Mathematics
Artificial Intelligence
Society
Causal Inference
Systems Thinking
Statistics
ML

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About this position

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.

Funding details

The post references funding deadlines and Gates Cambridge funding, suggesting funded PhD opportunities may be available, but it does not state a specific stipend, tuition coverage, or whether the position is fully funded. Applicants should check the linked funding information and Cambridge application pages.

What's required

Applicants should have strong data science skills with knowledge of machine learning causal inference, be able to think and work independently, have a solid publication profile, and demonstrate systems thinking. The post indicates interest in candidates for a PhD starting in 2027 and mentions specific project work on ML causal inference related to climate impacts and society.

How to apply

Review the main application information link and the funding deadlines link. If interested in working with Ramit Debnath, follow the group links and prepare an application aligned with the stated research interests and requirements. Check the Gates Cambridge deadline if applying for that funding route.

More information can be found here

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