Job ID: 199260

Postdoctoral Research Associate in Metal Additive Manufacturing Modeling

University of Pittsburgh

  • Nov. 11, 2022
 
  • Postdoctoral Research Associate in Metal Additive Manufacturing Modeling
  • Department of Mechanical Engineering and Materials Science
  • University of Pittsburgh
    Pittsburgh, PA
 
  • Open until filled
  • Available Immediately
  •  
 
  • Post-Doc
  • Nuclear
    Mechanical Engineering
    Material/Metallurgy
    Manufacturing & Quality Engineering
    Industrial & Systems Engineering
    Engineering Physics
    Engineering Mechanics
    Computer Engineering
    Computer Science
    Aerospace/Aeronautical/Astronautics
    Engineering - Other
 
 

There is an immediate opening for a postdoctoral researcher position in Professor Albert To’s research group (www.pitt.edu/~albertto) in the Department of Mechanical Engineering and Materials Science at University of Pittsburgh. We are seeking a highly motivated individual with a strong background in computational mechanics, especially finite element method development and constitutive modeling.  Current research focus of our group is on process simulation for additive manufacturing (AM) by leveraging GPU parallelization. Successful candidate will have access to state-of-the-art computational facilities, as well as AM facilities in the ANSYS Additive Manufacturing Research Laboratory (AMRL) that Professor To is directing.  These AM systems include the EOS DMLS M290, Optomec LENS 450 processes, and ExOne Innovent.  Successful candidate will conduct research in microstructure evolution (such as phase field modeling / cellular automaton) and/or crystal plasticity modeling.

The candidate must have the following qualifications:

  • A PhD in mechanical engineering, materials science, or other related fields
  • Demonstrated expertise and research experience in finite element method, microstructure evolution, and/or crystal plasticity
  • Experience in programming in C/C++ and CUDA programming

Desirable criteria:

  • Strong computational skills
  • Demonstrated strong verbal and written communication skills
  • Demonstrated ability to work as a team and independently
  • Experience in mechanical testing and materials characterization
  • Experience in using AM system
  • Experience in machine learning

Position is now open until filled.  Interested individual should submit a CV with contact information of three references to Professor Albert To (albertto@pitt.edu). 


  • The University of Pittsburgh is an equal opportunity/affirmative action employer.


 
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Contact Information

 
  • Albert To
    Department of Mechanical Engineering and Materials Science
    University of Pittsburgh
    508 Benedum Hall
    Pittsburgh, PA 15261
  •  
  • 412-624-2052
  • albertto@pitt.edu


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