consists of sudden, high-amplitude transitions of the current, which can jeopardize the stability of memory cells [2] and the precision of imager circuits. Counterintuitively, not only both LFN and RTN present at deep cryogenic conditions [3], but in certain cases even more prevalent than at room temperature[4]. This is an enormous obstacle for quantum computers, because cryo-CMOS circuits need to be physically very close to the qubit devices in order to perform the tasks of control, readout, and signal amplification. While technological advancements could potentially improve function below 10 K and accurate IC design could mitigate the read/write or readout amplification issues, a significant effort on the physical understanding of the trapping/detrapping cryogenic phenomena and a precise mathematical description is required, not only for noise but also for aging effects such as Bias Temperature Instabilities (BTI).
PhD Subject: This thesis aims to provide a deep understanding of trap-related noise effects at cryogenic temperatures down to 4 K through thorough experimental studies, while also developing physics-based compact noise models for cryo-circuit design. Recent interpretation approaches [5] will be evaluated, and new methods of noise parameter extraction will be elaborated. In terms of technologies, FD-SOI MOSFETs (both industrial-level 28nm node from ST and emerging LETI NextGen aiming 10nm) as well as III-V HEMTs (from IBM Zurich) will be studied, in order to cover all potential application scenarios (low-noise amplifiers, sensors etc.).
Required Skills:
- Strong background on electron device physics and electronics
- Experience with electrical measurements and data processing (Python/MATLAB..)
- Good level of English language and communication/presentation skills
Requirements
Research Field: Physics
Education Level: Master Degree or equivalent
Additional Information
Eligibility criteria
Applicants must hold a Master’s degree or an equivalent qualification by the application deadline and must not already hold a doctoral degree. Applicants must also comply with the MSCA mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months during the 36 months immediately preceding the application deadline. Applicants must not be current employees of the host laboratory. There are no nationality or age restrictions.
Selection process
Applications must be submitted through the QuanG2 online application platform by 7 September 2026 at 12:00 PM (Paris time). After the application deadline, all applications will first undergo an eligibility check. Eligible applications will then be reviewed during the pre-selection phase, scheduled for mid-October 2026. Shortlisted candidates will be invited to online interviews at the end of October 2026. Candidates selected following this first interview stage will then be invited to in-person interviews in Grenoble in early December 2026, with the final selection taking place after these interviews. All candidates will be informed of the outcome of the selection process following the final stage.
Additional comments
About the QuanG2 PhD Call
This PhD position is offered as part of the QuanG2 PhD Call for Applications, a doctoral programme coordinated by Université Grenoble Alpes and dedicated to training the next generation of researchers in quantum science and technology. The programme offers fully funded three-year PhD positions within the Grenoble quantum research ecosystem, providing doctoral candidates with a high-level international research environment and dedicated funding for their research and training activities.
Website for additional job details: https://phdquantumgrenoble.univ-grenoble-alpes.fr/sites/default/files/Mediatheque/default/PhD%20Topics%20-%20Autumn%202026/28.%20THEODOROU%20-%20Thesis%20project.pdf
