Researcher in Physics-Informed Machine Learning for Steel Design at KTH (Hultgren Laboratory)

Job Description

KTH’s Hultgren Laboratory in the Department of Materials Science and Engineering is hiring a researcher in machine learning for materials design, with a focus on steel. Working with industrial partners, you will build physics-informed models of steel heat treatment that use thermodynamics to keep predictions physically consistent, linking composition, processing, microstructure and properties to support alloy and process design for electrification and recycled feedstock.

At a glance

• Position: Researcher (1 post), special fixed-term employment of up to 12 months
• Where: Hultgren Laboratory, Department of Materials Science and Engineering, KTH Stockholm
• Contacts: Peter Hedström, pheds@kth.se; Joakim Odqvist, odqvist@kth.se
• Reference: PA-2026-3060
• Apply by: 1 October 2026
• Apply: 1 October 2026 (midnight CET/CEST)

About the materials design researcher role

• Develop physics-informed ML models for heat treatment of steels, guided by thermodynamics
• Link composition, processing, microstructure and properties
• Support new alloy and process design for electrification and circular production with recycled feedstock
• Work with experimental data and validation alongside experimental experts
• Collaborate closely with industrial partners

What to include in your application

KTH asks for a CV with relevant professional experience, copies of your diplomas and grades (with English or Swedish translations if needed), and a statement of at most two pages on why you want to do research and how it relates to your studies and goals. Applications go through KTH’s recruitment system and must arrive by midnight CET/CEST on the closing date.

What KTH is looking for

• A doctorate in computational materials science and engineering or a closely related area
• Research experience in machine learning for materials science, shown by journal papers and conference talks
• Programming, for example in Python
• Very good spoken and written English, independence and interdisciplinary teamwork

Nice to have

• A doctorate within the three years before the deadline
• Method development combining physics, data-driven approaches and experiments
• Potential to lead machine learning for materials design in an experimental environment

Pay and location

KTH’s advert lists a monthly salary but no amount. The post is a special fixed-term employment of up to 12 months in Stockholm.

How to apply

Apply through the official KTH page. The closing date is 1 October 2026 (midnight CET/CEST).

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