PhD in Application of Machine Learning, NTNU, Norway

Postdoctoral Position 2019 in Norway, Norwegian University (NTNU)

PhD in Application of Machine Learning: The Department of Materials Science and Engineering at the Norwegian University of Science and Technology (NTNU) is offering a scholarship opportunity for a PhD candidate to undertake research in the application of machine learning methods within the field of crystal and continuum plasticity. This is a prestigious opportunity for individuals with a background in materials science, mechanical engineering, applied physics, or mathematics to pursue a doctoral education program and obtain a PhD from NTNU, while contributing to cutting-edge research in materials science.

PhD Scholarship Opportunity in Application of Machine Learning for Crystal and Continuum Plasticity

Designation: PhD Candidate in Application of Machine Learning for Crystal and Continuum Plasticity

Research Area: Crystal and continuum plasticity, with a focus on the application of machine learning methods

Location: Norwegian University of Science and Technology, Trondheim, Norway

Eligibility/Qualification:

  • A Master’s degree in materials science, mechanical engineering, applied physics, or mathematics
  • Experience with machine learning techniques and their application in scientific research
  • Proficiency in programming languages such as Python, FORTRAN, or similar, and experience with computational modeling tools
  • A strong academic background with an average grade from the master’s degree program or equivalent education, equivalent to B or better compared with NTNU’s grading scale
  • Good written and oral English language and communication skills
  • Meeting the requirements for admission to the faculty’s doctoral program

Job Description:
The successful candidate will be expected to:

  • Conduct original research on the application of machine learning to model crystal and continuum plasticity in metallic materials
  • Develop and implement computational models that incorporate machine learning algorithms to predict material behavior during forming and forging processes
  • Collaborate with other researchers and industry partners to validate models and apply findings to real-world industrial problems
  • Prepare research findings for publication in peer-reviewed journals and present results at international conferences
  • Participate in academic and industry-related workshops, seminars, and meetings as required
  • Contribute to the supervision of undergraduate and master’s students within the department

How to Apply:
Interested candidates should submit the following documents via jobbnorge.no:

  • A cover letter describing motivation for the position, a summary of scientific experience, and how the applicant’s background is suitable
  • A draft research proposal for the PhD study, presenting ideas for the PhD-work
  • CV, certificates, and diplomas
  • Transcripts and diplomas for bachelor’s and master’s degrees
  • Name and contact information of three referees
  • If applicable, publications or other relevant research work

Last Date for Apply: 31st December 2024

For further inquiries about the position, please contact Associate Professor Tomáš Mánik at tomas.manik@ntnu.no. For questions regarding the recruitment process, please contact Marie Kristiansen at marie.kristiansen@ntnu.no.

NTNU is dedicated to providing an inclusive and diverse work environment and actively encourages underrepresented groups to apply. The university is committed to promoting equality and facilitating employees’ needs.

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