Research Assistant/Associate Accelerate Programme (Fixed Term)

Would you like to help build the University of Cambridge's AI for science community?

The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges. Working across disciplines within the University, Accelerate is advancing research at the interface of AI and science, providing training in data science for science, and building a community of research and practice.

We are looking for a Research Assistant/Research Associate to join our team, working on a project the explores the interfaces that can facilitate effective interactions between humans and AI in the research context. This project could explore different aspects of human-machine collaboration for science, including mechanisms for knowledge exchange between humans and AI, human-computer interactions, and the integration of different model types to deliver new AI for science tools.

We are looking for candidates who are passionate about advancing science through machine learning and about helping other researchers do the same. Successful candidates will be responsible for contributing to the development research projects and contributing to the Programme's community-building activities. You'll bring research experience at the intersection of AI and scientific discovery, alongside the skills and enthusiasm for working in interdisciplinary teams to deliver impactful research and engagement activities. The successful applicants will be expected to have:

• A PhD in a relevant specialist subject
• Research experience in a relevant discipline, demonstrating sufficient specialist knowledge and methods to work within established research programmes;
• Experience of working in interdisciplinary environments and strong motivation to apply AI for scientific discovery;
• Organisational skills and the ability to manage their own workload;
• Communication skills and the ability to communicate research clearly to diverse stakeholders;
• Relationship-building skills and the ability to work in multidisciplinary teams.

Appointment at Research Associate level is dependent on having a PhD including those who have submitted but not yet received their PhD in which case appointment will initially be made at Research Assistant (Grade 5) and amended to Research Associate (Grade 7) when the PhD is awarded.

Fixed-term: The funds for this post are available for 1 year in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is 17th March 2024 and interviews will be held in April.

Please ensure that you upload the following in the upload section of the online application: - A CV and publications list; - A covering letter outlining how your experience relates to this post's core skills - 2 page research proposal; - Names of two referees.

Please ensure that you give examples of how your skills and experience match the criteria for the post and why you are applying for this role in your covering letter. If you upload any documents that have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Jess Montgomery, [email protected]

If you have any queries about the application process please contact
[email protected] .

Please quote reference NR40693 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information
Apply online