Machine Learning Methods for Computational Physics
University of Michigan
Department of Mechanical Engineering
Applications are invited for a postdoctoral research positions to join the Computational Physics group in mechanical engineering at the University of Michigan to develop machine learning methods for system identification of partial differential equations.
Applicants should have a doctoral degree in engineering or mathematics with a strong focus on computational science. Some combination of a familiarity with numerical methods for PDEs, high performance computing and machine learning would be ideal.
Compensation (salary and benefits) will be offered according to University of Michigan.
The position is available immediately but starting date is negotiable. To apply please contact Prof. Krishna Garikipati at firstname.lastname@example.org
The University of Michigan offers a vibrant computational science community.