This PhD position is part of the EU-funded Print4Life Marie Sklodowska-Curie doctoral network, focusing on computational optimization of additively manufactured magnesium alloys for biodegradable implant applications. The host institution is Helmholtz-Zentrum Hereon in Geesthacht, Germany, with the PhD degree awarded by Kiel University (CAU). The project is embedded in a large international network, Print4Life, which aims to advance research training in additive manufacturing of biomaterials and future tissue engineering. You will be one of 17 doctoral students across the network and one of three based at Hereon, collaborating with Uppsala Universitet and Quintus Technologies AB in Sweden.

The research centers on in silico optimization of powder bed fusion-laser beam (PBF-LB) manufactured Mg alloys, specifically a lean Mg-0.1 Ca alloy. The project addresses the scarcity of studies on processing-structure-property relationships in additively manufactured Mg alloys, focusing on how process parameters affect microstructure, mechanical properties, and corrosion profiles. You will use machine learning techniques, including Gaussian Process Regression and Bayesian optimization, to model and optimize these relationships. Supervised learning methods such as random forest and artificial neural networks will be applied, and generative transformer models (e.g., ChatGPT) will be explored for process optimization.

Experimental validation will be conducted to assess model robustness. The objectives include producing Mg-0.1 Ca alloy under varying process parameters, collecting experimental data, performing sensitivity analysis, and developing predictive models to optimize microstructure and properties. Research stays at Uppsala Universitet and Quintus Technologies AB are planned. Supervisors for this position are Dr.

Christian Feiler, Dr. Sviatlana Lamaka, and Prof. Mikhail Zheludkevich.

The Institute of Surface Science at Hereon specializes in corrosion protection and functional coatings, integrating modeling and AI approaches. Applicants must meet MSCA eligibility criteria, including mobility rules and not holding a doctoral degree. A Master’s degree in a relevant field and strong English skills are required.

Experience in machine learning, additive manufacturing, corrosion characterization, and mechanical testing is advantageous. The position offers a 36-month Marie Curie fellowship with a competitive salary, living allowance, and social benefits.

The application deadline is December 31st, 2025, and the start date is March 1st, 2026. Applications should include a cover letter, CV, degree certificates, thesis/publications, and references, submitted in English via the provided link.