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Empa

Postdoctoral Researcher in Thin Films, Deposition Processes, AI, and Autonomous Experiments Empa in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Two-year initial contract with possibility of extension and a long-term perspective in the team. Competitive salary and benefits package. Collaborative international research environment with access to cutting-edge thin-film deposition infrastructure and research facilities.

Country flag

Country

Switzerland

University

Empa

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Keywords

Computer Science
Chemistry
Electrical Engineering
Materials Science
Artificial Intelligence
Surface Science
Thin Film
Automation
Material Characterization
Physics
ML

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About this position

Empa in Switzerland is advertising a postdoctoral researcher position in the Coating Technologies Group within the Laboratory for Surface Science & Coating Technologies. The project focuses on the development of thin films and advanced deposition processes using artificial intelligence, machine learning, and autonomous experiments.

The research sits at the intersection of materials science, physics, chemistry, and electrical engineering, with applications in ferroelectric memory, photonic integrated circuits, and next-generation telecommunications. The successful candidate will conduct physical vapor deposition experiments, perform materials characterization and surface analysis, and help build closed-loop and self-driving workflows for thin-film optimization.

Key technical areas include synchronized HiPIMS, pulsed sputtering, UHV and thin-film technology, in-situ surface/interface analysis, and automation of experiments using HW/SW concepts. The lab infrastructure includes sputter deposition and in-situ techniques such as RHEED, AES, and XPS, supporting advanced work on piezoelectric and ferroelectric nitrides.

Applicants should hold a PhD in a relevant field and have experience in PVD, surface science, Python programming, and strong communication skills in English. Experience with piezoelectric or ferroelectric nitrides, process development, and lab automation is an advantage. The role offers a collaborative international environment, access to cutting-edge facilities, competitive salary and benefits, and an initial two-year contract with possible extension.

The position is available from 1 December 2026 or later by agreement. Applications should be submitted through the linked Refline portal.

Funding details

Two-year initial contract with possibility of extension and a long-term perspective in the team. Competitive salary and benefits package. Collaborative international research environment with access to cutting-edge thin-film deposition infrastructure and research facilities.

What's required

PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline. Required or preferred experience includes UHV and thin-film technology, prior work in PVD and surface science, and proficiency in Python. Experience with piezoelectric or ferroelectric nitrides and PVD process development or pulsed sputtering is an advantage. Applicants should have excellent English communication skills, a strong academic track record and publication history, and interest in lab automation and agentic AI.

How to apply

Apply via the Refline application portal linked in the post. Review the position details and submit your application through the provided application page.

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