/Computational protein design for hybrid nanopore sensors

Computational protein design for hybrid nanopore sensors

Leuven | Just now

Harness protein design to build nanotechnology
This internship project addresses a key issue of nanopore technology: the integration of the biopore with electronic devices. By designing new proteins that better interface solid-state nanopore technologies, we aim to enable the assembly of a dense array of individually readable nanometer-scaled protein nanopores on a sensor chip. Such a “hybrid nanopore” concept would open the door to next generation DNA and protein sequencing approaches, as well as the development of novel wearable devices and point-of-care technologies for the real-time identification of molecules and biomarkers. In this Master thesis computational protein design will be leveraged to develop versatile hybrid nanopores. To find the best possible fit to solid-state pores, we will use de novo design and high-throughput experiments combined with cutting-edge semiconductor processing techniques. The Master thesis involves both wet lab and computational work with a balance that can be adapted to the candidate expertise/interests. The project proposed is a collaboration between VUB and IMEC.

Type of internship: PhD internship, Master internship

Duration: 5-6 months

Required educational background: Bioscience Engineering, Chemistry/Chemical Engineering, Nanoscience & Nanotechnology, Physics, Electrotechnics/Electrical Engineering, Materials Engineering

University promotor: Pol Van Dorpe (KU Leuven)

Supervising scientist(s): For further information or for application, please contact Jose Morales Hellin (Jose.MoralesHellin@imec.be) and Koen Martens (Koen.Martens@imec.be)

The reference code for this position is 2026-INT-073. Mention this reference code in your application.


Applications should include the following information:

  • resume
  • motivation
  • current study

Incomplete applications will not be considered.
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