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Research Assistant/Associate in Efficient Machine Learning Systems at the Edge (Fixed Term)

Closing date: 
Wednesday, 25 September 2024

Department of Computer Science and Technology, West Cambridge

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.

https://www.jobs.cam.ac.uk/job/46539/

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 

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