PhD - Leuven | Just now
Are you passionate about fluid dynamics and eager to tackle real-world challenges in microfluidics? imec invites motivated students to apply for a PhD position focused on developing advanced numerical methods for two-phase fluid flow, with a special emphasis on accurately modeling the liquid/vapor interface.
Microfluidic systems are revolutionizing fields from medical diagnostics [1, 2] (reducing sample volume and time-to-result) to high-performance computing [3, 4] (offering innovative and highly-performant cooling solutions). However, preventing and removing air bubbles remains a persistent challenge [5], especially as channel dimensions shrink and surface tension effects become more pronounced. At imec, we are pioneering micro/nanofluidic technologies—for example, to address arrays of solid-state nanopores for molecular sensing [6, 7]—to drive innovation in life science applications. To push these technologies forward, better predictive tools are needed to prevent bubble formation and ensure reliable fluid flow before committing to production of complex nanofabricated devices.
While commercially available computational fluid dynamics (CFD) software can simulate two-phase systems using methods like volume-of-fluid, level-set, or phase-field approaches, these often fall short in accurately describing the physics due to their simplified treatment of the liquid-vapor interface [8, 9]. This PhD project aims to develop novel, improved numerical methods for multi-phase flows to overcome the limitations of existing approaches. As part of your research, you will also conduct microfluidic experiments to benchmark and validate your models using state-of-the-art techniques such as micro-particle image velocimetry and high-speed liquid-vapor interface tracking.
We are seeking candidates with strong analytical skills, a passion for science, and ideally prior experience in numerical methods for CFD. At imec, you will join a dynamic, multidisciplinary team at the forefront of microfluidics research, gaining hands-on expertise in fluid mechanics and computational modeling. Your work will contribute to cutting-edge solutions in areas ranging from medical diagnostics to advanced liquid-coolers for AI and high performance compute.
Embark on an exciting journey with imec and help shape the future of microfluidic technology. Apply now to become part of a vibrant research community dedicated to innovation and scientific excellence.
References:
Required background: Engineering, Science, Physics, Computer Science
Type of work: 70% modeling, 20% experimental, 10% literature
Supervisor: Houman Zahedmanesh
Co-supervisor: Ben Jones
Daily advisor: Ben Jones
The reference code for this position is 2026-115. Mention this reference code on your application form.