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Eindhoven University of Technology

Postdoc in Atomic-Scale Processing for Future Chips and Energy Eindhoven University of Technology in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral research position at TU/e; funding details such as salary or stipend are not specified in the post.

Deadline

Oct 11, 2026

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Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Chemistry
Electrical Engineering
Chemical Engineering
Materials Science
Energy Storage
Atomic Layer Deposition
Photonic
Physics

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About this position

Postdoctoral opportunity at Eindhoven University of Technology (TU/e) in the Plasma & Materials Processing group focused on atomic-scale processing for future chips and energy technologies.

The position is part of a growing research effort in atomic layer deposition (ALD), materials science, semiconductor devices, photonic integration, AI-assisted experimentation, and energy materials. The post describes three main research directions: ALD for photonic integration, agentic AI for ALD, and ALD for next-generation energy storage technologies.

Research topics include functional dielectric coatings for III–V nanophotonic structures, AI-driven experimental workflows for oxide semiconductor deposition, and thin films/interfaces for lithium-ion and sodium-ion batteries as well as green electricity-driven electrolyzers.

The role is embedded in TU/e’s semiconductor and nanomaterials ecosystem and involves collaboration with academic and industrial partners. The successful candidate is expected to contribute to scientific output and supervise PhD and MSc students.

Location: Netherlands. Deadline: 11 Oct 2026. Apply via: AcademicTransfer job portal.

Funding details

Postdoctoral research position at TU/e; funding details such as salary or stipend are not specified in the post.

What's required

Applicants should be ambitious postdoctoral researchers with expertise relevant to atomic-scale materials processing, thin-film deposition, photonics, AI-assisted experimentation, or energy materials. The post expects the ability to contribute scientifically, supervise PhD and MSc students, and collaborate with academic and industrial partners.

How to apply

Apply via the AcademicTransfer job page. Review the vacancy details and submit your application through the provided portal before the deadline.

More information can be found here

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