Two PhD Positions in Additive Manufacturing at the University of South Carolina

The Department of Mechanical Engineering at the University of South Carolina is expanding its research portfolio to metal Additive Manufacturing. Two PhD positions are available in the Additive Manufacturing Lab led by Dr. Lang Yuan. Dr. Yuan’s research focuses on the fundamental understanding and prediction of microstructure and defect formation of metallic alloys during solidification processes. His profile can be found though the link here.

One PhD candidate will focus on the experimental understanding of solidification behaviors for a specific alloy system during Additive Manufacturing. We expect you love interdisciplinary science and are determined to do hands-on work on an open-architecture additive machine with your creativity to develop novel processes and techniques. The candidate should hold a minimal Bachelor’s degree, preferentially, Master’s degree in Materials Science, Mechanical Engineering or related fields with proven records, and preferentially experience in experimental techniques, especially in the field of materials characterization.

The second PhD candidate’s research will focus on developing multiscale and multiphysics computational models to predict material microstructures and defects. We expect you love computational modelling and are determined to develop theories and code them into practice.  The candidate should hold a minimal Bachelor’s degree, preferentially, Master’s degree in Materials Science, Mechanical Engineering or related fields with proven records, and preferentially experience in computational fluid dynamics and high performance computing.

All research will be done in a stimulating, highly multidisciplinary and international environment with strong industrial partners.

Both positions are fully funded, including tuition fees and competitive stipend. Additional funding will also be provided to support participation in international conferences, summer schools, workshops and research visits to project partners.

To apply, interested candidates are invited to send a detailed CV (including transcripts, honors, previous work, programming skills, publications,  GRE score, etc.) and contact information of two references to Dr. Yuan via email:  langyuan@cec.sc.edu