PhD - Leuven | Just now
At imec, we are developing a microfluidic device for synthetic biology, designed to automate DNA assembly and purification steps within a single, user-friendly platform. Capillary gel electrophoresis (CGE) has been chosen for purification due to its high resolution, speed, and automation that make it the gold standard for DNA analysis and purification.
Traditionally, gels such as agarose or polyacrylamide are used to create a sieving matrix that delay longer DNA fragments, allowing the separation of molecules by size. However, these gels have several limitations: they require cold, wet storage, have a short shelf life, and are difficult to mass-manufacture in microfluidic channels. As a result, current devices often require users to prepare the gel in situ just before using it - an inconvenient and error-prone process. Some newer solutions use high molecular weight polymers (e.g., PVP) mixed with the background electrolyte, but these too demand time-consuming preparation and experienced users, introducing variability and limiting scalability.
To overcome these issues, we are exploring manufacturable alternatives using advanced microfabrication techniques. One promising solution, which this PhD will investigate, is the integration of high-aspect-ratio glass nanopillars into the microchannels. Glass is insulating, chemically resistant, and already widely used as a substrate for other forms of deployable microfluidic electrophoresis. In partnership with Prof. De Malsche (VUB), we will investigate how an array of glass nanopillars can act as sieving matrix, providing consistent, high-resolution separation of DNA. The student will investigate the relationship between pillar dimensions and resolution and will assess the relevant figures of merit in different device configurations.The work will be carried between imec-leuven and VUB in Brussels.
Required background: Interesse (experience) in wet biolab and/or device fabrication. Biomedical Engineer, Bio(medical)physics, (Bio)engineer, Chemistry, or similar.
Type of work: 80% experimental+data analysis, 10% literature review, 10% theoretical studies
Supervisor: Wim De Malsche
Daily advisor: Camila Dalben Madeira Campos
The reference code for this position is 2026-020. Mention this reference code on your application form.