Research Fellow/Senior Research Fellow in Machine Learning assisted nonlinear optics (EPSRC project PROSPECT)

About the role

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 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, - £52, per annum) or Senior Research Fellow (Grade 8: £54, - £64, per annum), depending on experience.

About you

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:

Applications close on 4th November at 23:59
Informal enquiries regarding this post can be addressed to Prof Zhixin Liu . For questions regarding the application process please contact Rebecca Thomas at .

What we offer

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

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