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Helmholtz-Zentrum Hereon

PhD Position in Physics-Guided Digital Twin Development for Magnesium Alloys Helmholtz-Zentrum Hereon in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

4-year PhD position with remuneration up to pay grade 13 (EntgO Bund) under the German public sector collective agreement. The offer includes social benefits, 6 weeks holiday per year, and additional workplace benefits; no tuition details mentioned.

Deadline

Nov 12, 2026

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Country

Germany

University

Helmholtz-Zentrum Hereon

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Keywords

Computer Science
Chemistry
Mechanical Engineering
Materials Science
Mathematics
Digital Twin Technology
Phase-field Modeling
Crystal Plasticity
Physics
Computational Materials Science
ML

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About this position

Helmholtz-Zentrum Hereon (Institute of Materials and Process Design) is offering a 4-year PhD position in computational materials engineering, machine learning, and digital twins for advanced lightweight materials in Germany.

The project focuses on physics-guided digital twin development for magnesium alloys, aiming to build quantitative composition-process-structure-property relationships. The research combines experimental characterization, crystal plasticity, phase-field modeling, precipitation modeling, and machine learning to advance an Integrated Computational Materials Engineering (ICME) framework.

You will work on Python-based simulation and ML workflows (e.g. PyTorch, Scikit-Learn), incorporate microstructure and texture data from optical microscopy, SEM, EBSD, XRD, and mechanical testing, and investigate uncertainty quantification and explainable AI (XAI). The role is highly interdisciplinary and involves collaboration with experimental and modeling researchers.

Eligibility highlights: a master’s degree in mechanical engineering, materials science, computational engineering, physics, applied mathematics, data science, or a related field; strong interest in computational materials science and ML; good Python skills; English proficiency; and the ability to work independently and in a team.

Funding: remuneration up to pay grade 13 (EntgO Bund) with social benefits under the German public sector collective agreement. The post also mentions 6 weeks holiday, flexible working, and other staff benefits.

Deadline: 12 November 2026.

Funding details

4-year PhD position with remuneration up to pay grade 13 (EntgO Bund) under the German public sector collective agreement. The offer includes social benefits, 6 weeks holiday per year, and additional workplace benefits; no tuition details mentioned.

What's required

Master’s degree in mechanical engineering, materials science, computational engineering, physics, applied mathematics, data science, or a related discipline; strong interest in computational materials science, digital twins, and machine learning; good Python programming skills; experience with machine-learning methods and scientific Python libraries is desirable; knowledge of computational mechanics, finite element methods, crystal plasticity, phase-field modeling, or thermodynamic simulations is advantageous; experience analyzing experimental materials-science data is beneficial; ability to work independently and in an interdisciplinary team; strong analytical and problem-solving skills; highly proficient spoken and written English.

How to apply

Prepare a comprehensive application including cover letter, CV, transcripts, and certificates. Submit the application by 12 November 2026 via the provided Hereon career page.

More information can be found here

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