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Job ID: 192980

PhD positions on machine learning accelerated energy materials discovery
University of South Carolina


Date Posted Aug. 26, 2022
Title PhD positions on machine learning accelerated energy materials discovery
University University of South Carolina
Columbia, SC, United States
Department Mechanical Engineering
Application Deadline Open until filled
Position Start Date Available Immediately
 
 
  • Graduate Student
  • Materials Sciences/Polymer Sciences
 
 

Artificial Intelligence Accelerated Materials Discovery Lab led by Prof. Ming Hu at Mechanical Engineering Department, University of South Carolina has multiple full time PhD student openings in the broad areas of machine learning accelerated energy materials discovery.  More information about our group can be found in following webpages.

 

Interested applications should send following documents by E-Mail:

1) a CV with full publication list and short description of previous and current research projects

2) bachelor and/or master transcript(s)

 

High priority will be given to those with strong background in atomistic simulations (classical molecular dynamics simulations and/or first-principles calculations) of thermal, electronic, or ionic transport in crystalline materials.  Students with a master’s degree in materials science or condensed matter physics are strongly encouraged to apply.

 

Anticipated start date: Spring or fall semester 2023

 

Contact: Ming Hu

E-Mail: hu@sc.edu

Lab webpage:

http://hu-lab.strikingly.com/

Google scholar:

https://scholar.google.com/citations?user=8Wt2yS0AAAAJ&hl=en


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Ming Hu
    Mechanical Engineering
    University of South Carolina
    Department of Mechanical Engineering
    University of South Carolina
    Columbia, SC 29208
  •  
  • 8035767206
  • hu@sc.edu

 

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