• Master’s degree or graduating with a Master’s degree soon in Mechanical Engineering, Materials Science, Computational Engineering, Chemical Engineering or a similar field;
• Strong background in mechanics (plasticity, fracture, gradient theory);
• Background and experience in artificial intelligence algorithms and tools (e.g., LSTM, Tensor Flow, Py Torch, etc.)
• Experience in micromechanical modeling (RVE, gradient crystal plasticity, homogenization);
• Finite element simulation knowledge and experience with e.g., Abaqus (phase field approach or similar is a plus);
• Computational mechanics knowledge and experiences (developing material subroutines for mechanics or hydrogen-metal interaction is a plus)
• Excellence in communication and dissemination of research via publications and conference presentations;
• Discipline and organization skills in task and time management;
• Team working experience and spirit.

• An active, friendly, and highly collaborative multicultural and multi-disciplinary team - more than 15 members with complementary talents;
• Training by experienced members and hands-on operation and collaboration on advanced material testing and characterization facilities;
• Cutting-edge modeling experience and urgent & demanding research challenges in the field of sustainable development and green transition;
• Integration to our network of collaborators across the globe with various-form scientific discussions (meetings, workshops, conferences) and collaborations;
• Open, fair, encouraging, collaborative, inclusive, and curiosity-driven work environment to support your ambition and success.
• Details about the group can be found here:
  https://research.aalto.fi/en/persons/junhe-lian
  .

• Letter of motivation
• CV including a list of publications
• Previous project experience demonstration if available (free format)
• Degree certificates and academic transcripts
• Contact details of at least two references (or letters of recommendation, if already available)