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Atomic and Laser Physics, Department of Physics, Clarendon Laboratory Building, Parks Road, Oxford, OX1 3PU

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"Postdoctoral Research Assistant in optical neural networks (experiment)"

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Postdoctoral Research Assistant in optical neural networks (experiment)

Postdoctoral Research Assistant

12 noon on 5 February 2026

Location

Clarendon Laboratory Building, Parks Road, Oxford, OX1 3PU

University of Oxford

Type

Full-time fixed-term postdoctoral

Required Qualifications

PhD in Physics or related field (or near completion)
Superb research/publication record
Excellent communication skills for publication
Ability to manage own academic research
Contribute ideas for new projects

Research Areas

Optical Neural Networks
Machine Learning in Optics
Deep Optics Neural Networks
Analogue Electronic Activation Functions
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Postdoctoral Research Assistant in optical neural networks (experiment)

Location: Atomic and Laser Physics, Department of Physics, Clarendon Laboratory Building, Parks Road, Oxford, OX1 3PU

An exciting opportunity has arisen for a Postdoctoral Research Assistant in the Department of Physics.

Machine learning has made enormous progress during recent years, entering almost all spheres of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing capabilities, including both the size of neural networks and the processing rate. This is particularly concerning in view of the decline of Moore’s law.

The project is to implement artificial neural networks using optics rather than electronics. Optical neural networks would enable us to enhance both the power efficiency and speed of neural networks by several orders of magnitude. The specific aim is to develop a conceptually novel deep optics neural network with analogue electronic activation function. These neural networks will be operational without any involvement from digital computers, and approach animal brain in terms of both productivity and energy efficiency. Group web page: http://quantech.group/

What We Offer

As an employer, we genuinely care about our employees’ wellbeing, and this is reflected in the range of benefits that we offer including:

  • An excellent contributory pension scheme
  • 38 days annual leave
  • A comprehensive range of childcare services
  • Family leave schemes
  • Cycle loan scheme
  • Discounted bus travel and Season Ticket travel loans
  • Membership to a variety of social and sports clubs

About the Role

The postholder will manage their own academic research and administrative activities, develop new scientific techniques and experimental protocols and contribute ideas for new research projects. They will also collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters, as well as using specialise scientific equipment in a laboratory environment.

About You

The successful applicant will hold or be close to completion of a PhD in Physics, or a related field, have a superb research/publication record and have excellent communication skills, including the ability to write for publication. They will also have the ability to manage their own academic research and associated activities as well as the ability to contribute ideas for new research projects and research income generation.

Application Process

For further details about the role, please see the job description. You will be required to upload a CV, graduate and undergraduate transcripts and the details of two referees as part of your online application.

The closing date for applications is 12 noon on 5 February 2026. Interviews are expected to be held in mid-February 2026.

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Frequently Asked Questions

🎓What qualifications are required for the Postdoctoral Research Assistant in optical neural networks?

The successful candidate must hold or be close to completing a PhD in Physics or a related field, with a superb research and publication record. Excellent communication skills for writing publications are essential, along with the ability to manage independent academic research and contribute ideas to new projects. Learn more about thriving in postdoctoral research roles.

🔬What does the role involve at University of Oxford's Department of Physics?

The postholder will manage academic research and administrative activities, develop new scientific techniques and experimental protocols for optical neural networks, collaborate on reports and journal articles, and use specialized lab equipment. Occasional presentations are required. Explore postdoc opportunities in physics.

🧠What is the project focus on optical neural networks?

Implement artificial neural networks using optics instead of electronics to boost power efficiency and speed. Develop a novel deep optics neural network with analogue electronic activation, independent of digital computers, mimicking animal brain efficiency. Visit the group web page for details.

📝How to apply for this University of Oxford postdoctoral position?

Upload a CV, graduate and undergraduate transcripts, and details of two referees via the online application. See full job description for details. Tips on writing a winning academic CV available.

🏢What benefits and location details for this physics postdoc role?

Located at Clarendon Laboratory, Oxford. Benefits include excellent pension, 38 days annual leave, childcare services, family leave, cycle loan, discounted travel, and social/sports clubs. Closing date: 12 noon, 5 February 2026; interviews mid-February. Check higher ed employer benefits.

Is there teaching or visa sponsorship for this optical neural networks postdoc?

No teaching load mentioned; focus on research and lab work. Visa sponsorship not specified—confirm with employer. Ideal for Physics PhD holders with experimental experience. See research jobs for similar roles.
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