Jobid=628434912063720236 (0.0997)
The project focuses on the experimental realization and study of artificial microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids.
Living systems such as bacteria or algae exhibit remarkable capabilities: they swim, adapt, interact, and self-organize into dynamic patterns. Understanding and replicating these life-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science.
In this PhD project, you will:
§ Develop an experimental platform to study 3D self-organization of active particles.
§ Fabricate and characterize light-driven microswimmers.
§ Use advanced optical microscopy and particle tracking to analyze their motion and interactions.
Investigate emergent behaviors such as swarming, clustering, and collective navigation in confined and complex environments.
The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling.
The long-term goal is to derive design principles for constructing smart, adaptive microsystems, potentially useful for targeted drug delivery, cargo transport, biosensing, microfluidic mixing, or self-healing materials.
The successful candidate will join the within the TNW Faculty, the MESA+ Institute for Nanotechnology, University of Twente, Enschede, The Netherlands. This position offers ample opportunities for collaboration and interaction with various academic and industrial partners. You will work in a dynamic, highly interdisciplinary environment, utilizing state-of-the-art equipment and facilities to further the understanding and applications of microswimmers.
Starting Date: 1st October 2026 (but negotiable).
Your profile
We are looking for an enthusiastic candidate who meets the following criteria:
A Master’s degree (or equivalent) in (Applied)Physics, Chemistry, Biophysics, or a related field at the interface between Physics and Chemistry. Candidates with an MSc in Chemical Engineering, Materials Engineering, or Mechanical Engineering are also welcome to apply, particularly if their thesis work involved soft matter.
Prior experience with experimental techniques, especially in optical microscopy and colloidal particle synthesis, is considered a strong asset.
Working knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis.
Excellent written and spoken communication skills in English are essential for effective collaboration and dissemination of research findings.
Our offer
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