Opportunities

Ongoing opportunities for Collaboration and MPhil and PhD Programmes are provided under the subheadings in the menu. Do you have an opportunity you'd like to post? Please get in contact and we can help advertise it with our extensive network.

Current opportunities

From across the University of Cambridge and relevant external opportunities:

Research call
Closing date: 
18 September 2024

We are delighted to announce that our 2024 funding call in collaboration with Accelerate Programme for Scientific Discovery is now open!

Why have you launched this call?

Job opportunity
Closing date: 
2 August 2024

Department of Clinical Biochemistry

Applications are invited for a Senior Bioinformatician in Single cell/Transcriptomics to join the Genomics and Bioinformatics Core (GBC) within the Institute of Metabolic Science - Metabolic Research Laboratories at the Clinical School, University of Cambridge.

Job opportunity
Closing date: 
18 August 2024

Milner Therapeutics Institute, Cambridge

Job opportunity
Closing date: 
1 September 2024

The Centre for Human Inspired Artificial Intelligence (CHIA) seeks to appoint two Assistant Professors to lead our new PhD and MPhil courses in Human-Inspired AI, with the first intake planned for October 2025. The post holders will be expected to co-lead on delivering CHIA's new PhD and MPhil in Human-Inspired Artificial Intelligence, conduct impactful and internationally leading research in their areas of speciality, and contribute to the long-term development of CHIA.

Fixed-term: The funds for this post are available for 4 years in the first instance.

Research call
Closing date: 
5 September 2024

Closing date: 5th September 2024

Apply to lead an interdisciplinary research programme in digital twinning focused on improving government crisis response and resilience.

The programme must:

Research call
Closing date: 
19 September 2024

Closing date: 19 September 2024 4:00pm UK time

The drive towards rapid, smarter, greener and personalised formulation requires the insight provided by new predictive mathematical approaches. Understanding links between microstructure, complex processes, and perception will unlock productivity gains across the formulation sector.

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

Join us