Ph.D. and post-doctoral positions available in the Computational Biomechanics Laboratory at Michigan State University, USA

Scholarship:  Fully funded
Degree: BS, MS, PhD
Nationality: International Students
Location: USA
Application deadlines: Open


Scholarship Description:

Located in the Great Lakes region of the United States and bordered by Canada to the north, Michigan offers beautiful scenery and four distinct seasons. Michigan State University is Michigan’s flagship research university, known as the “Public Ivy” and ranked 93rd in the 2022 Times Higher Education World University Ranking.

The Computational Biomechanics Laboratory (hereafter referred to as the Biomechanics Laboratory) in the Department of Mechanical Engineering at Michigan State University (MSU) plans to recruit graduate students and postdoctoral fellows in Fall 2023/Spring 2024. Biomechanics Laboratory (https://researchgroups.msu.edu/compbiomech/)

Prof. Lik Chuan Lee, PI of the Biomechanics Lab, has collaborated with the California Institute for Medical Innovation, University of California, San Diego, University of California, San Francisco, University of Kentucky, Imperial College of Science and Technology, Medical College of Wisconsin, and has been awarded several national projects by the US National Institutes of Health, Heart Association, and Natural Science Foundation. His research has been published in more than 100 international journals such as Acta Biomaterialia, American Journal of Physiology, and Journal of Biomechanics, and his papers have been cited more than 1600 times.

 Available Subjects:

  • Computational biomechanics model development
  • Research on cardiovascular mechanics issues
  • Clinical technology/medical device development
  • Machine learning

Eligibility criteria:

  • Undergraduate and Master’s GPA above 3.0 or a grade point average above 80
  • GRE and TOEFL scores must meet the university’s admissions requirements (PhD applicants only)
  • Research experience in computational mechanics (numerical algorithms such as finite elements), materials ontology simulation, biomedical image processing, machine learning or fluid-structure coupled model development
  • Proficiency in programming languages (Python, C, Matlab, Fenics, etc.)
  • SCI publication experience

Application Procedure:

Students with strong research interests are welcome to send their CV, research experience and undergraduate transcripts to Prof. Lee at [email protected].