Research Associate (OQC)

Job description:

This post is funded by IAA project at the University of Sheffield, in collaboration with Oxford Quantum Circuits. The project is titled “Quantum-enhanced Anomaly Detection with Graph Neural Networks” and is to be delivered by the quantum discovery of science group led by Prof Oleksandr Kyriienko.

The research will involve designing understanding and developing innovative approaches to graph analysing using quantum-enhanced machine learning. These include strong background both in classical machine learning, physics-informed methods, graph neural networks, and quantum algorithms.

The work will include engagement with the OQC team, assumes strong communication skills, timely delivery, and being a part of a collaborative research network across the UK.

The candidate should have a demonstrated background in theoretical physics and machine learning, and have completed or be in the final stages of a PhD in this or a related discipline. 

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What we offer

• A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes
• A range of generous family-friendly policies
  • paid time off for parenting and caring emergencies
  • support for those going through the menopause
  • paid time off and support for fertility treatment
  • and more

More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

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