Overview
This is an exciting opportunity for a fully funded PhD position at the University of Groningen, focusing on the machine learning-based implementation of constitutive behavior of stainless steel. The position is embedded within the Faculty of Science and Engineering and the Engineering and Technology Institute Groningen, in collaboration with the Bernoulli Institute for Mathematics, Computer Science, and Artificial Intelligence. This research is particularly significant as it addresses the need for sustainable materials and advanced simulation modeling in industrial contexts.
Background & Relevance
The field of materials science is rapidly evolving, especially with the integration of machine learning techniques. The sustainable use of materials, such as stainless steel, is crucial for reducing environmental impact. Metal forming is a key manufacturing process that can benefit from improved modeling techniques. By developing hybrid machine learning models that accurately represent the complex behaviors of materials, researchers can enhance production efficiency and sustainability. This PhD project aims to bridge the gap between traditional continuum models and modern machine learning approaches, making it highly relevant in today’s industrial landscape.
Key Details
- Position: PhD in ML-based Modelling of Stainless Steel
- Location: University of Groningen, Netherlands
- Application Deadline: September 15, 2025
- Start Date: January 1, 2026
- Funding: Fully funded for 4 years under Dutch university agreement
- Salary: €2,901 (Year 1) to €3,707 (Year 4)
- Focus Areas: Hybrid ML and FEM modeling for advanced stainless steel materials
- Supervisors: Prof. Jan Post and Prof. Kerstin Bunte
- International Students: Welcome (English proficiency required)
- More Information: University of Groningen Job Opportunities
Eligibility & Participation
Candidates interested in this position should possess a master’s degree in mechanical engineering, materials science, computer science, applied mathematics, or a related field. A strong background in machine learning, material modeling, and metals processing is preferred. Additionally, candidates should demonstrate a keen interest in academic research and possess programming skills in languages such as Python or MATLAB. Strong communication skills in English, both oral and written, are essential for collaboration within the interdisciplinary team.
Submission or Application Guidelines
To apply for this position, candidates should prepare the following:
1. A detailed CV highlighting relevant educational background and experience.
2. A cover letter explaining their interest in the position and how their skills align with the project goals.
3. Any additional documents that showcase their qualifications and research interests.
4. Submit the application through the University of Groningen’s job portal by the deadline of September 15, 2025.
More Information
This PhD position represents a unique opportunity to engage in cutting-edge research at the intersection of machine learning and materials science. The integration of advanced modeling techniques into industrial processes is critical for the development of sustainable manufacturing practices. As industries increasingly focus on reducing their carbon footprint, research in this area will play a pivotal role in shaping the future of material usage and processing.
Conclusion
This fully funded PhD position at the University of Groningen offers a remarkable chance for candidates to contribute to significant advancements in sustainable materials and machine learning. Interested individuals are encouraged to apply and become part of a dynamic research team dedicated to innovation in engineering and technology.
Category: PhD & Postdoc Positions
Tags: machine learning, materials science, stainless steel, finite element modeling, sustainable materials, simulation modeling, engineering, interdisciplinary research, University of Groningen, metal forming, academic research
