Postdoctor in Materials Science and Materials Engineering
Workplace: Linköping, Sweden
Expires: June 10, 2025
Research position focusing on computational methods using machine learning to study the impact of microstructural properties on the structural integrity of metallic materials, with applications in sustainable mechanical design. Position based at Linköping University within the Department of Structural Materials.
Main requirements:
  • PhD degree in materials science, solid mechanics, or a related field obtained by decision time of employment
  • Strong programming skills
  • Experience in finite element analysis (FE)
  • Excellent communication skills including fluent English in speech and writing
Responsibilities:
  • Develop and apply computational methods including machine learning to predict effects of microstructural properties on structural integrity of metallic materials
  • Design and implement multiscale finite element models and machine learning algorithms
  • Analyze experimental data relevant to the research projects
  • Collaborate with industrial partners to validate computational results
  • Contribute to scientific publications and presentations at conferences
  • Mentor junior team members
  • Conduct limited teaching activities up to 20% of working time, including lab assistance, grading, classroom teaching, and student supervision
Required hard skills:
  • Programming (e.g. Matlab)
  • Finite Element Analysis (e.g. Abaqus)
  • Machine Learning
  • Multiscale finite element modeling
  • Data analysis
  • Scientific writing
Recommended hard skills:
  • Parametrization and automation of FE models via scripting
  • Microstructural modeling
  • Implementation of user-defined material models
Soft skills:
  • Excellent communication
  • Collaboration in interdisciplinary teams
  • Mentoring
Coding languages:
  • Matlab
  • Scripting languages
Frameworks:
  • Abaqus (FE software)
  • Machine learning libraries
Operating systems:
  • Not specifically stated
Natural languages:
  • English (Proficient)
Cultural skills:
  • Working in academic-industrial partnerships
  • Interdisciplinary collaboration
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