Research Scientist in Edge AI

2 days ago

Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full time
Research Assistant/Associate in Efficient Machine Learning Systems at the Edge

We are seeking a highly skilled Research Assistant/Associate to join our Computer Architecture group at the University of Manchester. The successful candidate will be part of a collaborative project with the University of Southampton, the Alan Turing Institute, and HMGCC, focusing on developing low-power systems and algorithms for onboard AI in small satellites.

Key Responsibilities:
  • Design and develop new low-power systems and algorithms for efficient machine learning at the edge
  • Collaborate with project researchers to develop complete hardware and software demonstrators
  • Contribute to the development of novel memory systems and low-power machine-learning accelerators
  • Work on object detection, compression, interpretation, and image retrieval tasks
Requirements:
  • PhD in a relevant subject (Research Associate) or preferably distinction on any Masters results (Research Assistant)
  • Excellent knowledge of computer science and programming skills (e.g., Python, C++)
  • Familiarity with building and evaluating hardware and software systems, efficient ML techniques, or ML for earth observation
What We Offer:
  • Full-time role with the possibility of part-time arrangements
  • Fixed-term contract with funds available until 31 May 2026
  • Opportunity to work with a collaborative team and contribute to cutting-edge research

The University of Manchester is an equal opportunities employer and welcomes applications from all sections of society. The successful candidate will be required to undergo security checks before appointment.

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