Master internship - Leuven | Just now
Project Introduction
The New Space-related activities involve fault-tolerant high-performance onboard computation and high-speed inter-satellite and orbit-to-Earth communications. Artificial intelligence (AI) and machine-learning (ML) tasks require the use of the ultra-deep submicron (UDSM) technologies for onboard electronic systems. FinFET and fully-depleted silicon-on-insulator (FD-SOI) technologies are promising candidates for the high-performance chips for space due to their attractive performance-power-area (PPA) characteristics.
At the same time, the extreme element scaling leads to high sensitivity to space radiation effects, mainly total-ionizing dose (TID) and Single-event-Effects (SEE), which are due to the charge collection in the sensitive nodes and charge trapping in isolating oxides and at the interface surfaces. FinFET technologies of 7-nm node level suffer not only the extremely low critical charge, but also the quasi-permanent effects like stuck bits. The sensitivity of FD-SOI technologies, in their turn, depends on the characteristics of the buried oxide (BOX) and Si/SiO2 interfaces.
Radiation hardening by design requires accurate modeling of the processes in the oxides and at the interfaces. TCAD simulations became the industrial standard for such purposes.
In this Master Thesis/Internship, the student will develop TCAD-level models for accurate estimation of radiation-induced charge collection and trapping in UDSM technologies.
Main Tasks
Developing the TCAD models:
Type of internship: Master internship
Duration: 1 year
Required educational background: Electrotechnics/Electrical Engineering
Supervising scientist(s): For further information or for application, please contact Maxim Gorbunov (Maxim.Gorbunov@imec.be) and Laurent Berti (Laurent.Berti@imec.be)
The reference code for this position is 2026-INT-178. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information: