| Location: | London, Hybrid |
|---|---|
| Salary: | £43,981 to £52,586 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 11th June 2026 |
|---|---|
| Closes: | 11th August 2026 |
| Job Ref: | B04-07515 |
About us
The Photonic Innovations Lab (pi-lab) at UCL's Department of Electronic and Electrical Engineering is seeking an exceptional postdoctoral researcher to join a flagship ERC Advanced Grant project led by Prof. Ioannis Papakonstantinou. This is a rare opportunity to work at the frontier of thermal nanophotonics, a field poised to transform how humanity manages one of its most abundant yet underutilised energy resources: heat radiation.
Thermal radiation is ubiquitous, but its incoherent, broadband nature makes it extraordinarily difficult to control. Achieving independent, precise manipulation of its spectral, polarisation, phase, spatial and angular properties would unlock transformative advances in sustainability, renewable energy, infrared sensing and imaging, agriculture, biomedical devices and beyond. Our project sets out to do exactly that.
About the role
As a core member of our vibrant, multidisciplinary team, you will:
We understand that no candidate will tick every box, and we don't expect them to. What matters most to us is exceptional talent, intellectual curiosity, and the drive to push boundaries. If this opportunity excites you, we encourage you to apply.
The post is available for 24 months in the first instance. Further funding to support the post may be available.
About you
Applicants should have a PhD (awarded or imminent) in a relevant area of photonics, optics, or applied physics/engineering. Relevant areas include (but not limited to) metasurfaces/metamaterials, thermophotonics, radiative cooling, photonic crystals, plasmonics, disordered photonics, light scattering in turbid media, multilayer thin-films, topological photonics, vectorial optics, quantum photonics, or similar.
You should have a deep understanding of electromagnetic theory and light–matter interactions, as well as experience with forward and inverse photonic design optimisation, ideally incorporating machine learning. The successful candidate will be proficient in one or more photonic computational methods: FDTD, FEM, BEM, RCWA, T-matrix, Monte Carlo, or equivalent. They will have strong optical experimental characterisation skills (e.g. FTIR, spectroscopic ellipsometry, angularly/spatially/temporal resolved measurements).
Knowledge of heat transport and non-equilibrium radiative transfer phenomena is desirable, as well as cleanroom nanofabrication and nanostructure chracterisation experience (e-beam lithography, FIB, RIE, nanoimprint, two-photon polymerisation, SEM/TEM/AFM).
Why join us?
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