Location: | Loughborough University, Loughborough, Hybrid/On-site |
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Salary: | From £33,966 Subject to annual pay award. Specialist and Supporting Academic Research grade 6. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 14th August 2024 |
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Closes: | 29th September 2024 |
Job Ref: | REQ240720 |
Fixed Term until 31st October 2026
As part of the University’s ongoing commitment to redeployment, please note that this vacancy may be withdrawn at any stage of the recruitment process if a suitable redeployee is identified.
Applications are invited for a Postdoctoral Research Fellow in Photonics AI at the Emergent Photonics Centre in the Department of Physics at Loughborough University. The position is initially for 2 years, but based on research requirements, it may be extended to 3 years.
The position is part of the EPSRC Quantum Technologies fellowship project “AI-powered micro-comb lasers: a new approach to transfer portable atomic clock accuracy in integrated photonics” (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/W028344/1) (total value £1.2M). The project focuses on developing a new class of AI-powered ultrafast lasers capable of "learning" how to optimise their emission in real-time and in real-life experimental conditions. The research activity combines theoretical modelling and the design and implementation of machine-learning control techniques for experimental photonic setups.
The specific aim of this post is to design and implement experimental setups to implement different machine-learning control approaches to stabilize ultrafast lasers at high optical powers, including mode-locked fibre lasers and micro-combs. Our approach combines standard stabilisation techniques (e.g., feedback control) with state-of-the-art machine learning approaches, such as reinforcement learning, physics-informed neural networks, and neuromorphic photonic low-latency predictors.
The successful applicant should have a PhD in a field related to our research areas (nonlinear photonics, ultrafast photonics, nonlinear wave propagation) and some background, preferably in ultrafast characterisation and machine-learning applications in photonics, with a good publication record. Previous experience with photonic bench implementations would be desirable, along with basic knowledge of ultrafast laser operation and a history of international involvement and aggressive publications strategy. Evidence of potential leadership, independence and strong motivation are also essential. Some of the typical tasks for this position include the operation of ultrafast lasers and optical frequency combs, the design of optical benches, the acquisition of data using fast electronics and their analysis.
The successful applicant will be based in the Department of Physics and in the Emergent Photonics Research Centre at Loughborough University. They will work with Dr Juan Sebastian Totero Gongora, in direct collaboration with researchers involved in several ERC, EPSRC and Leverhulme Trust research projects in nonlinear photonics, metrology and integrated photonics.
They will be part of a larger group of Loughborough researchers based in Physics, Chemistry and Computer Science who are active in the fields of Photonics.
Loughborough University is committed to promoting diversity of experience, thought and perspective and committed to comprehensive EDI strategies covering several aspects of being part of the university, including staff recruitment. As such, we welcome applications from under-represented groups, requests to fit a specific need in any phase of the selection, and any discussion regarding work and workload arrangements.
For more information on the role please refer to the Job Description and Person Specification.
Closing date: 29th September 2024
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