Opportunities
Research Calls - Job Opportunities - Internships
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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:
The National Research Foundation (NRF), Singapore has launched an AI for Science (AI4S) Catalytic call (see call details attached), which will provide funding of up to 2 million SGD for 2 to 3-year projects. The AI4S Funding Scheme seeks to support collaborative teams of scientific domain and AI researchers, to pursue cutting-edge basic science in Singapore which will significantly advance the development of AI methods and tools for scientific research and leverage these AI solutions to make a transformative step-change in scientific discovery.
The Cambridge-Africa programme is pleased to announce that the call for proposals to the ALBORADA Research Fund is now open.
Applications are invited from pairs of researchers (post-doctoral level and above) from the University of Cambridge or an affiliated institute and African universities or research institutes, across all disciplines, to initiate and/or strengthen research collaborations. Please note that the African applicant can be based in any African country and the awards are no longer restricted to African researchers from sub-Saharan Africa.
Department of Computer Science and Technology
Fixed-term: The funds for this post are available for 2 years in the first instance.
The Public Engagement Starter Fund is an exciting opportunity for University of Cambridge researchers to apply for small grants to undertake innovative public engagement with research activities.
Applications to the 2025 Public Engagement Starter Fund, for grants of up to £4000, can be submitted until 5 September 2025.
MRC Biostatistics Unit
The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health.
Cancer Research UK Cambridge Institute
Join us at the world-leading CRUK Cambridge Institute. We're a unique department of the University of Cambridge, core funded by Cancer Research UK's charitable activities, and we're eagerly searching for our new Junior Group Leader.
The primary role of this position is to develop and lead a research team focussed on leveraging the newest developments in AI for discovery science or translation, in biology or medicine.
Cancer Research UK Cambridge Institute
Join us at the world-leading CRUK Cambridge Institute. We're a unique department of the University of Cambridge, core funded by Cancer Research UK's charitable activities, and we're eagerly searching for our new Junior Group Leader.
This post carries a significant package of support for five years in the first instance, equivalent to that of an investigator grant (approximately £2.5million over five years).
Department of Engineering
A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Data Science for Construction Productivity. The researcher's responsibilities will include the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity measurement in construction.
The skills, qualifications and experience required to perform the role are:
Department of Applied Mathematics and Theoretical Physics
Enhancing Research Culture Fund
Applications for the 2025-26 Enhancing Research Culture Fund are open and may be entered in one of two streams: up to £60K or £60-100K. Research culture is a broad term encompassing a variety of areas. The panel will consider activities that explicitly fall within the areas explained in the link below.
The Sony Research Award Program provides funding for cutting-edge academic research and helps build a collaborative relationship between faculty and Sony researchers. With awards up to $150,000 USD* per year for each accepted proposal, both the Faculty Innovation Award and Focused Research Award create new opportunities for university faculties and research institutions to engage in pioneering research that could drive new technologies, industries and the future.
As part of one of the world's most innovative and recognizable brands, we are committed to support university research and innovation in the U.S., Canada, India, and select European countries, while also fostering partnerships with university faculty and researchers. The Sony Research Award Program provides funding for cutting-edge academic research and helps build a collaborative relationship between faculty and Sony researchers.
Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit
An exciting opportunity has arisen for a talented researcher to join our team as part of the Green Algorithms Initiative, one of the leading academic teams in the field of sustainable computing. The post will suit researchers interested in tackling one of the most pressing issues in tech today: improving our understanding and mitigating the environmental impacts of artificial intelligence and data centres.
Department of Applied Mathematics and Theoretical Physics
Institute of Astronomy
Fixed-term: The funds for this post are available until 31 October 2027 in the first instance.
This is an interesting opportunity for a data scientist to work at the Institute of Astronomy (IoA), University of Cambridge, as part of the Gaia and PLATO system development teams within the IoA Data Projects (CamCEAD) group.
Centre for Research in Arts, Social Sciences and Humanities
Cambridge Digital Humanities (CDH) seeks to appoint a postdoctoral researcher in Digital Humanities. The post will run for three years from Spring 2026.
Department of Engineering
Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following areas: machine learning, decision making, and theory and practice of deep learning.
Funders: Economic and Social Research Council (ESRC), UK Research and Innovation
Apply for a fellowship to undertake innovative, impact-focused research using smart data. Projects should address a significant real-world challenge which is relevant to the UK.
Projects must be clearly aligned to at least one of Smart Data Research UK’s four thematic pillars:
UK Open Multimodal AI Network (UKOMAIN)
The UK Open Multimodal AI Network (UKOMAIN) is pleased to announce the first funding call under the Open Multimodal AI Benchmark (OMAIB), a key mechanism for delivering UKOMAIN’s mission through open, interdisciplinary, and community-driven benchmarking to address Tomorrow’s Engineering Research Challenges (TERCs). We define Multimodal AI broadly as the integration of any two or more types of data, not limited to texts and images.
Cambridge researchers are developing AI innovations that could transform healthcare diagnosis, accelerate climate solutions, and revolutionise education. Too many potentially game-changing ideas never move beyond academic papers, when they could be benefitting people and society.
CRASSH offers support to postdocs and academic staff employed by the University of Cambridge or one of its Colleges to run a wide range of events and creative initiatives. We invite you to apply for funding and logistical support for any activity that will foster the exchange of ideas across disciplines and cultures, forge new collaborations between researchers and other participants, bring academic research to wider publics, or explore the connections between research and artistic practice.
Department of Computer Science and Technology
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.