PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches

Helmholtz-Zentrum Hereon; Deutschland; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

Das Helmholtz-Zentrum Hereon sucht einen hochmotivierten Kandidaten für eine Forschungsstelle im Bereich Wasserstoffversprödung. Die Position umfasst die Entwicklung von Modellen zur Verbesserung der Vorhersagbarkeit von Versagen in Stahlstrukturen, kombiniert mit experimentellen Laboruntersuchungen. Profitieren Sie von einem interdisziplinären und internationalen Team und profitieren Sie von ausgezeichneten Forschungsmöglichkeiten und Sozialleistungen.

Leistungen

6 Wochen Urlaub pro Jahr

Familienfreundliche Unternehmenspolitik

Individuelle Weiterbildungsmöglichkeiten

Soziale Leistungen gemäß TVöD

Qualifikationen

• M.Sc. oder gleichwertiger Abschluss erforderlich.
• Erfahrung in mechanischen Tests ist erwünscht.
• Gute Englischkenntnisse in Wort und Schrift.

Aufgaben

• Entwicklung von Modellen zur Vorhersage von Versagen durch Wasserstoffversprödung.
• Durchführung von Materialtests und Computational Modelldev.
• Erstellung und Pflege von Datensätzen für das Training von ML-Modellen.

Kenntnisse

Programmierkenntnisse

Maschinenlernen

Materialwissenschaften

Ausbildung

MSc-Abschluss in Materialwissenschaften, Maschinenbau, Physik oder ähnlichem

Jobbeschreibung

Helmholtz-Zentrum Hereon

The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,000employees contribute to the tackling of climate change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers a unique range.

Institute of Surface Science

The Institute of Surface Science specializes in the development of corrosion protection concepts and functional coatings that meet the requirements of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods.

PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches

Reference code: 50141225_2 – 2025/MO 2
Commencement date: as soon as possible
Work location: Geesthacht (near Hamburg)
Application deadline: June 22^nd, 2025

Hydrogen economy promises a source of clean energy, but it requires addressing critical issues associated with the assessment of hydrogen before being end-used. An issue associated is hydrogen embrittlement (HE). HE can cause catastrophic failures, especially in HE susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl. electrochemical charging. This includes supporting and setting up new HE testing facilities. This is part of a third-party funded project.

We are looking for a highly motivated candidate to develop models integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and code implementation in close cooperation with scientists. The position is limited to 3 years.

Equal opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position.

Your tasks

• develop surrogate models to approximate high-fidelity phase field simulations, incorporating physics-informed loss functions to enhance model accuracy and generalizability
• modify and extend existing phase field modeling frameworks to capture failure mechanisms associated with hydrogen embrittlement
• generate and curate datasets for training ML (e.g. DeepONet) models by materials testing to identify relevant parameters and ensure consistency between simulations and empirical observations
• dissemination of results by publications in peer-reviewed journals and presentation at consortia meetings, national and international conferences, and workshops

Your profile

Essential qualifications:

• MSc degree in materials science, mechanical engineering, physics or similar
• basic programming skills in one or more languages (Python, C/C++, or others)
• experience in mechanical testing
• profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning)
• interest in materials science (e.g., SCC)
• excellent knowledge of English (written and spoken)
• high degree of motivation, creativity, and flexibility
• ability to work in an interdisciplinary and international team of scientists

Desirable qualifications:

• experience in processing experimental data
• experience with SCC
• international research experience
• willingness to learn German

We offer you

• an exciting and varied job in a research centre with around 1,000employees from more than 60nations
• a well-connected research campus (public transport bus) and best networking opportunities
• individual opportunities for further training
• social benefits according to the collective agreement of the public service and remuneration up to pay group 13according to TV EntgO Bund
• an excellent technical infrastructure and modern workplace equipment
• 6weeks holiday per year; company holidays between Christmas and New Year's Day
• very good compatibility private and professional life; offers of mobile and flexible work
• PhD Buddy Program
• family-friendly company policy with childcare facilities, e.g. nursery close to the company
• free assistance program for employees (EAP)
• corporate benefits
• a varied offer in the canteen on campus

Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements.

Interested?

Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number 2025/MO 2 until June 22^nd, 2025.

Apply now

Max-Planck-Straße 1
21502 Geesthacht
www.hereon.de
[e-mail]