PhD: Computational Modelling: Chalmers University of Technology, Sweden, invites applications for a fully funded PhD position focused on computational modelling of recycled aluminium components. The selected candidate will develop finite element analysis (FEA) tools to understand how microstructural defects from mega-casting influence mechanical behavior. The role is part of the interdisciplinary RAM³ Project under the prestigious WISE (Wallenberg Initiative Materials Science for Sustainability) research program.
PhD Scholarship Opportunity: Computational Modelling of Defects in Mega-Cast Aluminium (Chalmers University of Technology, Sweden)
📋 At a Glance
| Designation | PhD Student |
|---|---|
| Research Area | Computational Material Mechanics, FEA, Recycled Aluminium |
| Location | Division of Material and Computational Mechanics, Chalmers University of Technology, Gothenburg, Sweden |
| Funding | Fully Funded (Starting Salary: 34,550 SEK/month) |
| Project Duration | 4 years (extendable to 5 years with 20% teaching) |
| Application Deadline | August 31st, 2025 |
Designation
PhD Student in Computational Modelling of Effects of Defects in Mega-Cast Aluminium
Research Area
- Computational Material Mechanics
- Finite Element Analysis (FEA)
- Recycled Aluminium and Mega-Casting
- Micromechanical and Multiphase Modelling
- Machine Learning & Materials Science (RAM³ project)
Location
Chalmers University of Technology
Division of Material and Computational Mechanics
Gothenburg, Sweden
Eligibility / Qualification
Mandatory Requirements:
- Master’s degree (120 ECTS) or 4-year Bachelor’s degree (outside Sweden) in:
- Applied Mechanics
- Structural Engineering
- Computational Engineering
- Engineering Physics
- Engineering Mathematics or similar
- Excellent written and verbal communication in English
- Strong programming skills
- Proven academic experience in:
- Computational material mechanics
- Continuum mechanics
- Finite Element Method (FEM)
Preferred (not mandatory):
- Knowledge in computational homogenisation
- Experience in microscale computational modelling
Job Description
As a PhD candidate, you will:
- Develop a finite element framework to predict mechanical properties of recycled aluminium
- Model microstructural defects and their influence on damage and failure
- Conduct parametric studies to understand defect-performance relationships
- Collaborate with researchers in materials characterization, computer vision, and machine learning
- Present your findings in peer-reviewed journals and international conferences
- Contribute to undergraduate teaching (up to 20% of workload)
What Chalmers Offers
- Full employment and salary with employee benefits
- Enrollment in the WISE Research School, providing access to courses, research visits, and a multidisciplinary network
- Relocation support including Swedish language courses
- Inclusive, international, and gender-equal research environment
How to Apply
- Visit the official application portal (link via Chalmers’ careers page).
- Prepare your application as a single PDF file, in English.
- Include:
- CV
- Personal Letter (introducing yourself and your motivation)
- Bachelor’s and Master’s thesis (if applicable)
- Academic transcripts
- Do not send applications via email. Incomplete or emailed submissions will not be considered.
🔗 Application Page – Chalmers Careers (Use the application button at the bottom of the job ad.)
Contact
Dr. Martin Fagerström
Email: fagerstrom@chalmers.se
Phone: +46 70 224 8731
🗓 Last Date to Apply
August 31st, 2025
Be a part of cutting-edge research at the intersection of sustainability, materials science, and computation. Join Chalmers and shape the future of recycled materials!
