The Accelerate Science in collaboration with Cambridge University Cambridge Service for Data Driven Discovery (CSD3), Oxford University Research Software Engineering, and NVIDIA, is launching its first undergraduate Accelerate Winter School for AI, a three-day intensive programme designed specifically for final year undergraduate students interested in Generative Artificial Intelligence. As AI becomes integral to all research disciplines, this programme aims to equip the next generation of researchers from all academic backgrounds with foundational AI skills.

Department of Medicine

Bioinformatician Cambridge Institute for Therapeutic Immunology and Infectious Disease

We have an exciting opportunity for a Bioinformatician to work on the BRC infectious diseases theme and join Prof Ravi Gupta's group, based within the new Cambridge Institute for Therapeutic Immunology and Infectious Disease (CITIID).

The Gupta lab has led pioneering work into SARS-CoV-2 variants and within host evolution, in addition to molecular virology. The lab has a long standing interest in HIV evolution and drug resistance.

Cambridge Stem Cell Institute (SBS)

Fixed-term: The funds for this post in the first instance is are available for 24 months.

The Cambridge Stem Cell Institute is an international centre of excellence for stem cell research and regenerative medicine. Scientists in the Institute collaborate to advance our knowledge of various stem cell types and to perform pioneering work in translational research areas, providing the foundation for new medical treatments (https://www.stemcells.cam.ac.uk/).

ai@cam is hosting the first-ever Cambridge AI in Local Government Fair on Monday 24 November, 12:00-16:00. This isn't a traditional conference – it's a "reverse poster session" where council staff from Cambridgeshire, Peterborough, and Greater Manchester will present real public service challenges they're facing, and you'll have the chance to explore how your research could help address them.

Funders: UKRI via Responsible Ai UK

Apply for funding to support collaboration in the domain of Responsible Artificial Intelligence to ensure society deploys and uses AI in a responsible way. This funding covers travel and subsistence for UK researchers to collaborate within the UK or internationally or for UK-based researchers to host international visitors (i.e., flight and subsistence, accommodation in the UK).

Cambridge Research Methods

This is a rigorous 8-hour module consisting of 4 hands-on workshops focused on mastering real-world data cleaning, transformation, DATA EXPLORATION, and visualization using R, with strong support from ChatGPT as a generative AI assistant. The course condenses core content into two intensive instruction plus exercise sessions and dedicates two sessions to structured, high-difficulty practice using real datasets and published research.

27th - 28th November 2025

Department of Pure Mathematics and Mathematical Statistics

Department of Computer Science and Technology

Fixed-term: The funds for this post are available for 3 years.

A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer Science and Technology (CST) at the University of Cambridge.

The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and critical computing. High-level topics include:

The AI for Collective Intelligence Research Hub is delighted to announce Phase 2 of its Rapid Response Fund. Phase 1 awarded £325k to seven exciting projects spanning diverse areas of research. We want to ensure that the Fund continues to build capacity, capability, and community in AI for Collective Intelligence research across the UK. To ensure that funding is targeted where it can have the greatest impact, we are looking for projects that:
•    Expand the Hub’s network of researchers.

Applications are now open for Cambridge Enterprise’s Translational Funding Ideas Incubator (TFII). 

Do you have a research result or prototype ready for real-world application? Want to learn more about how to move beyond the research phase? 

Department of Applied Mathematics and Theoretical Physics

Funding opportunity from the CHAI (Causality in Healthcare AI) Hub

The CHAI Hub’s Events and Workshops Fund supports academic researchers to organise interdisciplinary events designed to drive collaboration and advance the application of causal AI in healthcare.

The Department for Science, Innovation and Technology (DSIT) are seeking evidence on a pioneering cross-economy sandbox, that would oversee the deployment of AI-enabled products and services that current regulation hinders. The AI Growth Lab would support growth and responsible AI innovation by making targeted regulatory modifications under robust safeguards and with careful monitoring. This call for evidence aims to collect essential information about people’s feedback on the proposed AI Growth Lab to help inform government policy development.

data.org - The Activate AI: Economic Opportunity Challenge is a global call for innovative AI applications that empower people and communities, and that unlock economic opportunity for a resilient future.

With the launch of this challenge, data.org and Zoom are seeking out projects that drive AI workforce development and organizational capacity, develop pathways to create future friendly jobs leveraging data and AI, and build climate resilient communities for a green economy.

Department of Clinical Neurosciences

Applications are invited for a fully-funded 3-year PhD studentship in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Dr Alexis Joannides starting April 2026 (Easter Term 26).

Open to UK and overseas students starting an MPhil in Advanced Computer Science at Cambridge University. This scholarship will cover full fees for a home student, or £25,000 of fees for an overseas student, and will be awarded at the discretion of the Admissions Tutor and the Senior Tutor.

The award holder must matriculate at Queens’ College. Details of the scholarship recipient will be shared with the donor.

This scholarship is possible thanks to the generosity of Jan Metzger (1995, MPhil).