Highly motivated Masters and PhD students sought at Texas Tech University

Scholarship: Fully-funded
Degree: B.S./M.S./Ph.D
Nationality: International Students
Location: USA
Application deadlines: Spring 2024 or Fall 2024.

Scholarship Description:

Dr.Minliang Liu is an Assistant Professor of Mechanical Engineering at Texas Tech University. He received his Ph.D. in Mechanical Engineering from Georgia Institute of Technology in 2020, and B.Eng. degree in Mechatronic Engineering from Zhejiang University in 2015. His research interests lie primarily at the intersection of cardiovascular biomechanics, computational modeling, and machine learning. Dr. Liu’s research has been funded by the American Heart Association, and his work has been published in top mechanics journals, including Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids, and Acta Biomaterialia. He has received several prestigious awards and recognitions, including the Georgia Tech Sigma Xi Best Ph.D. Thesis award, the American Heart Association Predoctoral Fellowship, and the American Heart Association Postdoctoral Fellowship.

Establishedin 1923, Texas Tech University (TTU) is a prestigious public research university in Lubbock, Texas. TTU is classified as an “R1: Doctoral Universities – Very high research activity” institution by the Carnegie Classification of Institutions of Higher Education. Lubbock is a vibrant and rapidly growing city in Texas, offering students an affordable cost of living and a range of cultural and recreational opportunities. The Whitacre College of Engineering and the Department of Mechanical Engineering at TTU has been recognized for its excellence in engineering education and research.

 Available Subjects:

  • (1)machine learning to strategically address challenges in biomechanical modeling;
  • (2) patient-specific computational modelingof cardiovascular diseases and interventions;
  • (3) experimental characterization and modeling of the mechanical behavior of cardiovascular tissues.

Eligibility criteria:

  • Successful candidates will be provided with full graduate assistantships that include a tuition waiver, stipends, and student benefits.The student will have a supportive and inclusive research environment and the opportunity to work on impactful research projects in collaboration with Emory, Yale, and Georgia Tech. 
  • We welcome applications from candidates with a Bachelor’s or Master’s degree in Mechanical Engineering, Engineering Mechanics, Biomedical Engineering, or a related field. Candidates with prior research experience in mechanics and/or machine learning and strong programming skills in languages such as Python, or MATLAB will be given favorable consideration.

Application Procedure:

If interested, please contact Dr. Minliang Liu at [email protected]. The subject of your email should be “[Master or PhD] application: [Your Name]”. Please include your (i) CV, (ii) TOEFL and GRE scores, and (iii) transcripts.