Opportunities
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We are delighted to announce that Accelerate Science 2025 funding call in collaboration with the Cambridge Centre for Data Driven Discovery (C2D3) is now live!
We are offering small grants for Cambridge University researchers pursuing innovative applications of AI in research or real-world contexts with a focus on inter and multidisciplinary collaboration.
This year applications are open under three categories:
Department of Computer Science and Technology, West Cambridge
Fixed-term: The funds for this post are available for 12 months.
Department of Engineering, Central Cambridge, UK
Duration: 6 months
Location: Hybrid (Cambridge, UK – Addenbrooke’s Hospital)
Start Date: Summer 2025
Salary: £50,000-£60,000 pro rata (based on experience)
About Us
The ESRC have announced their New Investigator Grant scheme. This scheme is suitable for early career researchers who have yet to make the transition to be an independent researcher. Proposals are welcome in any topic which falls within ESRC’s remit, including projects at the “interface with the wider sciences”, provided that social sciences accounts for at least 50% of the proposed research.
Department of Oncology
This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https://crukcambridgecentre.org.uk/research/programmes/breast-cancer/pbci (PBCI), led by Professor Jean Abraham, and make a real impact in the fight against breast cancer.
Department of Computer Science and Technology, West Cambridge
Fixed-term: The funds for this post are available for 12 months in the first instance.
Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges.
Accelerate Science
University Information Services
Are you interested in an exciting and unique opportunity to support the UK's HPC and AI Research Services? We are looking for enthusiastic individuals to join our team operating large HPC and AI infrastructure including the UK's fastest AI supercomputer, Dawn. We support scientists across the UK and beyond in critical research fields such as clean energy, personalised medicine and climate science and you will help us in delivering world class services.
Who you'll be working with
Department of Oncology
Applications are invited for a full-time Bioinformatician who will be based in the Cancer Molecular Diagnostics Laboratory (CMDL), Clifford Allbutt Building, Hills Road, Cambridge.
The Centre for the Study of Existential Risk (CSER), Cambridge Institute for Technology and Humanity
The Centre for the Study of Existential Risk (CSER) invites applications for a Research Associate interested in improving our understanding of how AI may deliberately or accidentally affect biosecurity risk, as well as developing commentary on why some advances and interactions have provoked more concern than others. This role is fixed term for 12 months and would suit someone with a PhD in a relevant technical field, who is interested in engaging with governance and policy.
The University of Cambridge and the University of Canterbury have a reciprocal visitor exchange programme between the two universities entitled the Cambridge–Canterbury Exchange Programme.
Applications are invited for two visiting fellowships at the University of Canterbury, New Zealand. Academic staff members of any subject may apply. Further particulars may be obtained from the Strategic Partnerships Office at https://www.strategic-partnerships.admin.cam.ac.uk/exchange-programmes.
Department of Oncology
Are you passionate about driving breakthroughs in breast cancer research? Join our team at the Precision Breast Cancer Institute (PBCI), led by Professor Jean Abraham, and make a real impact on beating breast cancer. We're seeking a talented and highly motivated bioinformatician to revolutionise patient care and advance our world-class breast cancer research.
Dr Ramit Debnath will be guest editing a special collection for Nature Portfolio’s Humanities and Social Sciences Communications on the application of large language models (LLMs) in psychological sciences - which is now accepting submissions!
Past Opportunities:
Opportunities that are no longer available to apply for are archived here.