Quantiki

A Postdoctoral / Research Engineer position is open at the Laboratoire Kastler Brossel (LKB), within the Multimode Quantum Optics group, to work on the implementation of quantum computing protocols using non-Gaussian states of light. This position is part of a technology transfer project whose results are intended to be valorized in the long term through our future spin-off.

Dear all,

I'm happy to announce an exciting and unique PhD opportunity — a 4-year dual degree, with two years spent in Manchester and two years in Tokyo, jointly supervised by Mio Murao and myself (Philip Taranto).

Full details about the project and how to apply can be found in the linked advertisement.

The Polyquantique research group led by Nicolás Quesada specializes in quantum photonics and quantum information. The group is looking for highly motivated candidates at the Postdoctoral and PhD level with interest and expertise in theoretical quantum optics.

We are a theory group with a significant computational component that collaborates closely with experimental groups and partners in government and industry. We write open source code and do reproducible science.

Post/s of Part-Time or Full-Time Research Support Officer II or III or IV
QMLA – “Quantum Machine Learning for Astronomy” Xjenza R&I Thematic Programme - Digital Technologies Programme.
The full-time post is for a period until 30th October 2027. The candidate should preferably be available to start working with immediate effect. The post carries the following initial remuneration per annum / per hour, inclusive of any cost-of-living adjustments:
RSO II - €30,327/ €14.58;
RSO III - €36,692 / €17.64;
RSO IV - €47,092 / €22.64.

Modern robotic systems increasingly rely on learning-based perception, prediction, and decision making modules that must operate under strict constraints on latency, compute, energy, and reliability. In many robotic platforms (mobile robots, drones, autonomous vehicles, ...), inference must execute on embedded or edge hardware while remaining robust to sensor noise, distribution shifts, and safety-critical failures.