Research Fellow in Edge AI security

The Research Fellow in Edge AI security position centres on they will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals. It would suit someone who can bring technical problem-solving, documentation, and careful delivery to the role.

Working environment

They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals. The emergence of edge AI systems—AI deployed on resource-constrained, often battery-powered, devices at the edge of the network—presents critical security challenges.

Candidate fit

careful practical judgement. They will be proficient in Python and ideally familiar with hardware design (Verilog/VHDL), FPGA-based acceleration, etc.

Skills and requirements

• On experience with Edge AI and embedded systems security, as well as a solid grounding in AI security and Trustworthy AI.