Job Description

Ref Number

B04-06687

Professional Expertise

Research and Research Support

Department

UCL BEAMS (B04)

Location

London

Working Pattern

Part time

Salary

See advert text

Contract Type

Fixed-term

Working Type

Hybrid

Available for Secondment

No

Closing Date

04-Nov-2025

About us

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The Department of Electronic & Electrical Engineering at UCL invites applications for one (1) part-time (0.2 FTE) research position in Machine Learning assisted nonlinear optics, as part of an EPSRC Open Fellowship entitled Programmable and Robust Optical frequency combs to empower Stability and Precision for sEnsing and Communication Technologies (PROSPECT). This fellowship investigates a new class of optical frequency comb (OFC) generator that offers tuneable tone spacing (repetition rate), programmable spectrum shape and robustness to environmental perturbation.

About the role

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The successful candidate will bring expertise at the intersection of machine learning and nonlinear optics, as well as incorporating AI-assisted decision making to efficient nonlinear system modeling.



The Research Fellow role involves project management, collaboration with international partners, and a balance of theoretical research, system design, and paper writing. Specific tasks include developing simulation framework for low-noise frequency comb generator, creating AI-assisted algorithms for dynamic time-series prediction and network optimisation, and designing incentive and coordination mechanisms that integrate economic and policy considerations into communication system deployment.



The fellow will contribute to research reports, software framework management, and project partner coordination. The research will be supported by the state-of-the-art facilities of the Information and Communication Engineering (ICCS) at UCL and carried out in close collaboration with experts in optics nonlinear science.



This post is available from October 2025 for 24 months in the first instance. Further funding to support the post may be available. The successful candidate will be appointed at either Research Fellow (Grade 7: 45,103 - 52,586 per annum) or Senior Research Fellow (Grade 8: 54,931 - 64,644 per annum), depending on experience.

About you

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Applicants should have a PhD (or about to submit) in a relevant branch of science or engineering (Electronic Engineering, Information Engineering or Physics).The candidate is expected to have in-depth knowledge in low-noise optical frequency comb design, fibre and waveguide nonlinearity, resource allocation in large-scale communication systems, and data-driven methods for time-varying environments. This interdisciplinary profile ensures the ability to address both the algorithmic and hardware design.



Please access the full job description at the bottom of the page to learn more about the requirements for the role.

Application details:

To apply for the role, click the 'Apply Now' button at the bottom of the page. Applications close on 4th November 2025 at 23:59 Informal enquiries regarding this post can be addressed to Prof Zhixin Liu zhixin.liu@ucl.ac.uk. For questions regarding the application process please contact Rebecca Thomas at becca.thomas@ucl.ac.uk.

What we offer

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As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:


41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days' annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

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As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.



We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.



You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/