Research Assistant/Associate - Geometry/Topology and Machine Learning (Fixed Term)

Fixed-term: The funds for this post are available for 2 years in the first instance.

Applications are invited for a Research Assistant/Associate to work on the intersection of geometry, topology and machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply insights from geometry and topology to discover new applications of machine learning. Multiple positions may be available.

Role Requirements

The successful candidate must have a PhD (or close to submitting) in mathematics, computer science or a related discipline.

This research is interdisciplinary. The candidate must have strong expertise in at least one of the following areas (1) or (2), and a clear interest in expanding their knowledge in both domains.

(1) Geometry/Topology -related methods in computer science.

(2) Machine Learning. (For example, graph neural networks, generative networks, or neural algorithmic learning.)

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world-wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Please follow the link at: https://www.cst.cam.ac.uk to find out more about our Department.

We offer to reimburse the cost of the first visa required to undertake employment at the Department.

To apply online for this vacancy and to view further information about the role, please click on the apply button above.

Please provide a CV and 1-page covering letter, along with contact details of 2 referees. The covering letter should indicate how you meet the requirements of the role. Please note referees may be contacted at any point in the assessment process. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR47156 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.

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