Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing spanning photonics, AI-driven ALD, and energy materials.
Information
Within the Plasma & Materials Processing group at Eindhoven University of Technology (TU/e), you will join a growing research effort in Atomic Scale Processing for future chips and energy. The central challenge is to design and control materials at the atomic scale to enable next-generation devices with unprecedented performance, efficiency, and functionality.
You will contribute to one of four complementary research directions:
- ALD for photonic integration: Development of functional dielectric coatings for III–V nanophotonic structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program.
- Agentic AI for ALD: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon project on agentic AI research assistance.
- ALD for next-generation energy storage technologies: Design and engineer thin films and interfaces of interest in next-generation lithium- and sodium-ion batteries, and green electricity-driven electrolyzers, in collaboration with Dutch academic and industrial partners. .
All projects are united by a common philosophy:
precise atomic-scale control of materials to enable future technologies in electronics, photonics, and energy storage.
You will work in a highly collaborative environment within the Plasma & Materials Processing group, embedded in TU/e’s strong semiconductor and nanomaterials ecosystem. You are expected to contribute to scientific output, supervise PhD and MSc students, and actively collaborate with academic and industrial partners.
This role offers the opportunity to shape emerging research directions at the intersection of materials science, device physics, and data-driven experimentation.
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