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back to vacancy list Vacancy: Non-conventional Photonic Computing for Telecom (Open)Posted on 6/8/2026Context
Fresh off the press: our real-time all-optical signal equalisation chip was just published in Nature Photonics!
We are looking for a highly motivated PhD candidate with a background in photonics and an interest in machine learning or telecommunications for a research project in the field of non-conventional photonic computing for telecom.
 Job Description
As a group, we have been active in this field for over 10 years, both at the simulation level and at the experimental level. E.g., we were the first to fabricate silicon photonics chips based on reservoir computing (a variant of recurrent neural networks) [Vandoorne et al., Nature Communications 5 3541, 2014]. The main application for this technology that we have been pursuing recently is telecommunication. Indeed, we used these neuromorphic chips to show the experimental realisation of nonlinear dispersion compensation in a telecom link [S. Sackesyn et al., Optics Express, 29, 20, 30991, 2021] and [E. Gooskens et al., Scientific Reports, 13, 21399, 2023]. This line of work recently culminated in the first real-time, fully optical equalisation of fibre distortions on a single chip [R. Van Assche et al., Nature Photonics, 2026]. Currently, we are closely collaborating with telecom companies to bring this closer to market, with the aim of continuing to offload costly processing by digital electronic DSP to analog photonic hardware.
Candidate Profile
We are looking for a motivated and talented candidate to strengthen our team and to bring this research line forward. We offer you the opportunity to perform cutting-edge, blue-sky research, in a challenging, motivating environment, working within a multidisciplinary team consisting of both photonics people and computer scientists. A willingness to tackle challenges coming from these multidisciplinary collaborations is a must.
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