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Research Assistant/Associate in Efficient Machine Learning Systems at the Edge

2 months ago

Cambridge, United Kingdom University of Cambridge Full time

Applications are invited for a Research Assistant/Associate in Efficient Machine Learning Systems at the Edge. The post holder will be part of the Computer Architecture group under the guidance of Professor Robert Mullins.

The role involves developing new low-power systems and algorithms to significantly enhance the capabilities of onboard AI when used within small satellites. The project is a collaborative effort involving teams at the University of Manchester and University of Southampton and partners at the Alan Turing Institute and HMGCC. The research will seek innovations at both the software and hardware level. The use of a novel memory system and recent advances in low-power machine-learning accelerators will create significant scope to explore new research directions. On-board processing tasks will include object detection, compression, interpretation and various image retrieval tasks. The "Perfect Recollection for Clearer Insight" project is funded by EPSRC.

Successful candidates at the Research Associates must hold a PhD in a relevant subject, at the Research Assistant level must hold preferably distinction (or equivalent) on any Masters results, or equivalent experience. Excellent knowledge of computer science is expected. Familiarity with building and evaluating hardware and software systems, efficient ML techniques, or ML for earth observation would be desirable.

Applicants should be prepared to collaborate with other project researchers to help develop complete hardware and software demonstrators. They will have excellent programming skills (e.g. in Python, C++, etc.).

This is a full-time role, however we will consider part-time arrangements; fixed-term contract with funds available until 31 May 2026.

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.

The successful candidate will be required to undergo security checks, to be carried out by the National Security Technology Innovation Exchange (NSTIx) before the appointment is confirmed.

Previous applicants need not apply.

Informal enquiries can be made by contacting Robert Mullins at Robert.Mullins@cst.cam.ac.uk

If you have any queries about the application process please contact personnel-admin@cst.cam.ac.uk.

Please quote reference NR41691 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.

£29,605 to £44,263 pro rata if applicable