PhD - Leuven | Just now
What you will do
We are seeking a highly motivated PhD student to join our cutting-edge research on CMOS-compatible platforms for precise positioning and control of biomolecules at single-molecule level. While micro- and nanofabrication have enabled advanced electronic and photonic systems for biotechnology, the scalable and site-selective placement of biomolecules on substrates with nanoscale patterns remains a key challenge. Particularly, emerging genomics and proteomics technologies demand manipulation of individual biomolecules. Current limitations include controlling the number, type, orientation, activity, and interaction of biomolecules at each nanostructure across large-scale arrays. A promising future direction is to combine conventional top-down patterning techniques with area-selective deposition (ASD), a bottom-up technique that deposits material only where needed, on a given area of a patterned substrate and not on adjacent surface area. This PhD project will explore DNA and protein origami-based strategies based on area-selective deposition on CMOS devices. The obtained insights will enable precise biomolecule placement with controlled orientation and functionality at wafer-scale. The research will span disciplines such as nanofabrication, molecular biology, chemistry, and materials science, contributing to the development of next-generation biosensing and biosynthesis platforms.
Your main responsibilities include, but are not limited to:
Relevant review papers:
(https://doi.org/10.1063/5.0099294)
(https://doi.org/10.1038/s41427-023-00470-3)
Who you are
You are a highly creative and motivated PhD candidate with a passion for interdisciplinary research and innovation. You are driven to push boundaries and deliver state-of-the-art results in nanoscale biosensing and molecular engineering. Ideally, you bring the following qualifications and skills:
Required background: (Bio)chemistry, (Bio)physics, (Bio)nano-science/technology, Materials engineering, Semiconductor engineering, or a related field
Type of work: 80% experimental; 20% data analysis, simulation, literature
Supervisor: Annelies Delabie
Co-supervisor: Philippe Vereecken
Daily advisor: Seungkyu Ha, Karolien Jans
The reference code for this position is 2026-046. Mention this reference code on your application form.