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Research Associate

University of York - School of Physics, Engineering and Technology

Location: York
Salary: £36,024 to £44,263 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th December 2023
Closes: 17th January 2024
Job Ref: 12942

Department

The School of Physics, Engineering and Technology brings physicists and engineers together to push the frontiers of knowledge, foster innovation and meet the challenges facing society. Our aim is to deliver world-leading research in both fundamental and applied areas whilst developing new technologies.

As a School, equality, diversity, and inclusion are central to our culture. We aim to ensure that there is a supportive and egalitarian culture at all levels and across all staff groups and offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff. We are proud to hold Juno Champion and Athena Swan bronze awards, which recognise our commitment to creating an equitable and inclusive environment in which staff and students can thrive.

Role

A cross-disciplinary team of researchers from the Universities of York, Cardiff, Manchester, Stirling, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach and efficient hardware architecture based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy.

We are recruiting a team of outstanding researchers from Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives.

In this role you will:

  • Design and implement novel neuromorphic computing architectures, focusing on artificial spiking neural networks, interfacing with edge sensors, and efficient hardware implementation.
  • Collaborating with the neuroscience, engineering, and computer science RAs, develop functional models that can learn, store, and detect patterns of life.
    • Collaborate with the other project researchers to develop the demonstrator applications.
    • Conduct research, publish, and disseminate research through publications, seminars, conference presentations and public engagement.
      • PhD, or equivalent research experience, in Computer Science, Electronic Engineering, Physics, Mathematics, or similar technical area
      • Excellent knowledge and skills in Artificial Neural Networks, Machine Learning, or Brain-inspired computing, including simulation and training methods.
      • Excellent knowledge and skills in simulation systems development, including specification, design, programming (Python, C++, C or equivalent) and testing.
      • Desire to work in a cross-disciplinary team.

Skills, Experience & Qualification needed

  • PhD, or equivalent research experience, in Computer Science, Electronic Engineering, Physics, Mathematics, or similar technical area
  • Excellent knowledge and skills in Artificial Neural Networks, Machine Learning, or Brain-inspired computing, including simulation and training methods.
  • Excellent knowledge and skills in simulation systems development, including specification, design, programming (Python, C++, C or equivalent) and testing.
  • Desire to work in a cross-disciplinary team.

By applying, you are agreeing that we can share your information with The University of Sheffield.

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.

Interview date: To be confirmed

For informal enquiries: please contact Prof Martin Trefzer (martin.trefzer@york.ac.uk) or the PET HR Team (pet-hr@york.ac.uk).

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