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: 
9 September 2022

The Accelerate Programme in collaboration with C2D3 is offering small grants for Cambridge University researchers pursuing innovative applications of AI, in research or real-world contexts. Funding can support a variety of activities, including events, workshops, teaching, software development, or research, with a focus on interdisciplinary collaboration.

Closing date: 
10 July 2022

The ELIXIR-UK DaSH Fellowship has started the second round of applications to find Data Stewards with a passion for training.

The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training with a Fellowship of Data Stewards, who act as ambassadors in their organisations.

Closing date: 
10 July 2022

Department of Psychology, Cambridge City Centre

A post-doctoral Research Associate position in Neuro-Clinical Data Science is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab (https://www.abg.psychol.cam.ac.uk).

Job opportunity
Closing date: 
11 July 2022

MRC Biostatistics Unit

Job opportunity
Closing date: 
11 July 2022

Department of Engineering

Applications are invited from suitably qualified candidates for the post of Associate Teaching Professor who will act as the Machine Learning and Machine Intelligence (MLMI) MPhil Course Director and will be based at the Department of Engineering's Central Cambridge site.

Job opportunity
Closing date: 
15 July 2022

Department of Engineering

A position exists, for a part time (10 hours per week) Research Assistant in the Department of Engineering, to work with Prof. Simon Godsill and his team on the project: "SIGNetS - Signal and Information Gathering for Networked Surveillance".

The post holders will be located in Central Cambridge Cambridgeshire, UK.

Job opportunity
Closing date: 
15 July 2022

Department of Geography

Applications are invited for a Research Associate to join Dr Emily Lines' UKRI Future Leaders Fellowship (FLF) project "Next generation forest dynamics modelling using remote sensing data". This is an interdisciplinary project at the intersection of ecology, remote sensing, and data science. The successful candidate will have experience and expertise in applied data science and machine learning, a demonstrated interest in ecology, terrestrial ecosystems and/or remote sensing of the environment, and be keen to work on complex environmental problems.

Job opportunity
Closing date: 
17 July 2022

Department of Computer Science and Technology

Job opportunity
Closing date: 
17 July 2022

Department of Clinical Biochemistry

We are seeking a computational biologist to join our group's efforts to use human pluripotent stem cells and mouse models to illuminate disease mechanisms and discover potential therapies for obesity and neurodegenerative disease. The role offers an exceptional opportunity to join a friendly and diverse team with expertise in developmental and stem cell biology, neuroscience, gene editing, disease modelling, and computational biology in the laboratory of Dr. Florian Merkle (www.merklelab.org).

Job opportunity
Closing date: 
17 July 2022

Alan Turing Institute

Job opportunity
Closing date: 
17 July 2022

Department of Haematology

The Department of Haematology is seeking an outstanding candidate with an excellent record of independent research who will be expected to direct a rigorous, high quality and externally funded research programme at an international level. Interdisciplinary and collaborative research is strongly encouraged across the University and its associated institutes. They are also expected to make contributions to NHSBT health service innovation projects.

Job opportunity
Closing date: 
20 July 2022

The Alan Turing Institute

The Alan Turing Institute has ten Programmes of scientific research in key areas of AI and data science, each led by a Programme Director. There are also a small number of significant programmes of activity which sit across several research Programmes.

Job opportunity
Closing date: 
20 July 2022

The Alan Turing Institute

A digital twin (DT) is a virtual replica of a physical process or system that is dynamically updated using data collected from real-time monitoring of its physical counterpart. Although they originated in the engineering sciences, DTs are starting to be used to successfully approach a wide range of complex scientific and social problems, including in healthcare, environmental monitoring, urban analytics, and economics.

Job opportunity
Closing date: 
21 July 2022

The Alan Turing Institute

The Institute has a focused area of work on AI for Human Rights, Equality and Inclusion: One theme of AI for human rights considers and applies a range of participatory and principles of algorithmic accountability approaches, expanding the solution space to support equality and inclusion across the AI lifecycle including data collection and sharing, and in the design, development and deployment of data science and AI methods.

Job opportunity
Closing date: 
21 July 2022

The Alan Turing Institute

Job opportunity
Closing date: 
29 July 2022

Department of Computer Science and Technology

The Accelerate Programme for Scientific Discovery is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate will:

  • provide researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research.

  • pursue an ambitious research agenda that applies machine learning to the scientific challenges of the 21st century.

Job opportunity
Closing date: 
2 August 2022

Department of Engineering, Central Cambridge

The Department of Engineering are seeking a post-doctoral Research Associate ("post-doc") to join the Machine Learning Group (MLG) (http://mlg.eng.cam.ac.uk) in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme "Deep Learning and AI Alignment".

The programme's goal is to increase our understanding of how to align AI systems -- especially those based on Deep Learning - with human preferences/values/intentions.

Job opportunity
Closing date: 
2 August 2022

Department of Engineering

The Department of Engineering are seeking a highly creative, motivated, and collaborative post-doctoral Research Associate ("post-doc") to join the Machine Learning Group (MLG) (http://mlg.eng.cam.ac.uk) in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme "Deep Learning and AI Alignment".

Research call
Closing date: 
5 September 2022

The British Academy Postdoctoral Fellowship is a three-year fellowship for outstanding early career researchers in the humanities and social sciences. The scheme aims to help develop the award holder’s curriculum vitae and boost their prospects of obtaining a permanent university post. The primary emphasis is on the completion of a significant piece of publishable research, and the integration of the award holder into the community of established scholars within their field.

Cambridge-based C2D3 members should log in to access restricted information

Job opportunity
Closing date: 
30 September 2022

Department of Engineering

Positions exist for new Fellows in the Department of Engineering, to work on the FUTUREROADS-COFUND programme. The aim of Future Roads is to recruit, train and support individual fellows who wish to contribute towards an improved future for the road industry. The programme is aimed at high-potential individuals primarily interested in following a career in the transportation infrastructure sector or academia. The post holder will be located in Cambridge, Cambridgeshire, UK.

Closing date: 
17 October 2022

The Leverhulme Trust has announced the Leverhulme Doctoral Scholarships.

Cambridge-based C2D3 members should log in to access restricted information

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 
  • Acts as a gateway for external organisations 

Join us.