2 PhD-positions available within the FLIGHT fellowship program at ICFO

Full Time
Employment Information

ICFO offers PhD-fellowships in the scope of the FLIGHT Program, a MCSA-COFUND doctoral program explicitly focused on intersectoral research training in collaboration with Industrial or Clinical Partners.

There are 2 research projects in the Industrial track:

Project IT003: New Methods and Protocols for Quantum Random Number Generation. Supervisors: Prof. Dr. Antonio Acín at ICFO and Dr. Gabriel Senno at Quside.

Description: This project’s goal is to improve state-of-the-art Quantum Random Number Generators (QRNGs) by developing new theoretical protocols and numerical methods. In particular, it will imply deriving stronger security proofs for device-dependent and semi-device-dependent QRNGs, as well as designing new device-independent protocols for randomness generation in quantum networks.

Project IT004: Development of detectors and image sensors based on quantum dot technology. Supervisors: Prof. Dr. Gerasimos Konstantatos at ICFO and Dr. Stijn Goossens at Qurv.

Description: ICFO and Qurv are teaming up to develop a new generation of wide-spectrum image sensors for high volume computer vision applications. We leverage current CMOS scalable manufacturing and advanced materials such as colloidal quantum dots and 2D materials to unlock new levels of performance, reliability and function in XR devices, service robots and automotive applications. The aim of the project(s) can be tuned according to the candidates’ expertise and can range from the development of high-throughput manufacturing of image sensors based on QD ink technology, to new detector architectures with unprecedented performance enabled by integration of nanophotonic structures and/or the use of hybrid 2D/QD photodetectors.

For complete information visit the FLIGHT fellowship program website: http://www.icfo.eu/flight

The call for applications and online application for both positions is available at: https://jobs.icfo.eu/?detail=807

FLIGHT has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 101081441