Postdoctoral Research Fellow, College of Engineering, Mathematics & Physical Sciences, University of Exeter, UK

This full-time post is available immediately on a fixed term basis until 30 September 2023.

The post

We wish to recruit a Postdoctoral Research Fellow working in the area of quantum computing and machine learning theory. The post is offered to work in the group of Dr. Oleksandr Kyriienko (Department of Physics, University of Exeter) and support the collaboration with an industrial partner. A successful applicant will join the project on developing quantum algorithms for solving nonlinear differential equations. The post will be hosted by the University of Exeter, Streatham campus.

The post will target the tasks of developing original quantum algorithms, aiming to advance the areas of multi-simulation, finances, and quantum machine learning. The duties will include:

  • theoretical investigation of quantum protocols, including resource estimate analysis and deriving analytical bounds on performance;
  • in silico testing of algorithms, developing efficient software realizations, and quantum hardware testing for prototype problems;
  • applying algorithms for relevant applications, and proposing novel use-cases;
  • regular interaction with the industrial partner and collaborators, as well as mentoring junior team members;
  • reporting results in the form of peer-reviewed publications (where applicable) or internal reports, and contributing to patent applications.

Examples of prior work can be openly accessed in arXiv:2011.10395, arXiv:2108.03190, arXiv:2108.01218.

About you

Applicants will possess a relevant PhD (or be nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to perform calculations (analytical, numerical) in the areas of quantum information and theoretical machine learning. The areas of technical expertise include backgrounds in quantum information, AI, operator algebra, tensor networks, probability theory, and complexity theory.

The successful applicant will have excellent writing skills, professional attitude, desire to self-study, and will be goal-oriented. They shall show the ability to work in virtual environment and possess a self-discipline for doing research remotely if required. Importantly, the successful applicant will be industry-inclined, and potentially willing to join the rapidly developing quantum start-up community.

Please ensure you read the Job Description and Person Specification attached above.

The University of Exeter is a Russell Group university in the top 200 of universities worldwide. We combine world-class teaching with world-class research, and have achieved a Gold rating in the Teaching Excellence Framework Award 2017. We have over 22,000 students and 4600 staff from 180 different countries and have been rated the WhatUni2017 International Student Choice. Our research focuses on some of the most fundamental issues facing humankind today, with 98% of our research rated as being of international quality in the 2014 Research Excellence Framework. We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students.

What we can offer you

  • Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;
  • Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
  • An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
  • Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
  • A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy
  • A beautiful campus set in the heart of stunning Devon.

For further information please contact Dr. Oleksandr Kyriienko directly via e-mail at o.kyriienko@exeter.ac.uk

The closing date for completed applications is 31 October 2021.  Interviews are expected to take place several weeks after the deadline. For more information, or to apply online, click here.

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