Two fully-funded PhD positions are available in the lab of smart manufacturing and smart materials at Worcester Polytechnic Institute (WPI) in the area of scientific machine learning and additive manufacturing. Our research concentrates on the development of physics-based machine learning and its application for computational design of functional materials, and multiscale and multiphysics modeling for AM.

Required Qualifications:

· A B.S. in Mechanical Engineering, Civil Engineering, Materials Science and Engineering, or a related field. M.S. with project experience is a plus.

· Broad Knowledge in machine learning, computational mechanics, topology optimization, and metal AM.

· Skills in Pytorch, Tensorflow, C/C++, and MATLAB. Experience in MPI/OpenMP and CUDA is a plus.

These positions will be filled in Spring and Fall 2022. Interested candidates should send a cover letter with a summary of research interests and skills, CV, publications (if applicable), names and contact information of three references to Dr. Lin Cheng by email (lcheng@wpi.edu), with the subject line “PhD Application –[Name]”. Evaluation of candidates will begin immediately and will continue until the openings are filled.

More information about the lab can be found in: https://sites.google.com/view/chenglab/home?authuser=0

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. The position is in topology optimization, computational mechanics, and/or additive manufacturing (AM). Current research focus of the group is on the mechanics, design, and fabrication of lightweight complex AM structures. Successful candidate will have access to state-of-the-art computing AM systems in the Additive Manufacturing Research Laboratory (AMRL) at Pitt, for which Professor To serves as the Director. These AM systems include the EOS DMLS M290, Optomec LENS 450, ExOne M-Flex, and Stratasys Objet Connex machines. Successful candidate will conduct research in one of the following areas: (1) Topology optimization or (2) Microstructure and mechanical behavior prediction.

The candidate must have the following qualifications:

1) A PhD in mechanical engineering, materials science, or other related fields from an academic institution in the US

2) Demonstrated expertise and research experience in topology optimization, computational mechanics, and/or additive manufacturing

3) Experience in programming in Matlab, C/C++ and in various CAD and FEA software packages, especially ANSYS, ABAQUS, SolidWorks and Inventor

More details please find in the attachment.

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)