Two post-doctoral positions are available starting October 1st or soon thereafter at the Center for Informatics and Computational Science (CICS) at the University of Notre Dame. These are two years positions with the option of renewal. The research efforts at CICS center around the development of innovative machine learning techniques as applied to predictive modeling of complex systems in engineering and the sciences.
Project Title: Physics-Informed Learning for Multi-scale Systems
Project Description: While a direct transfer and application of machine learning tools to data generated by physics/chemistry simulations and experiments has already produced promising results, it is becoming more and more apparent that in order to provide further breakthroughs a synergistic environment should be developed. The challenge to address is how one can integrate physical/chemical laws, which provide a potentially infinite source of data and encode invariances and symmetries that govern the behavior of physical systems, with the undisputed ability of un/semi/supervised learning tools for extracting patterns, learning relationships and effecting dimensionality reductions.
Required Applicant Qualifications: We are interested on individuals with one or more of the following skills:
(1) Strong analytical, algorithmic, and coding skills (2) Experience in Bayesian Inference, Machine Learning and Deep Learning, (3) Hands on experience with deep learning implementation frameworks (PyTorch, TensorFlow) (4) Experience in high-performance computing and simulation of continuum and/or molecular systems (5) Team orientation and (6) Potential to lead a research direction on physics guided machine learning and a team of PhD students.
Candidates should have a Ph.D. by the time of appointment in Computer Science/Informatics, Computational Mathematics or Statistics or any Engineering/Science discipline.
Application Process: Interested candidates should apply by emailing Prof. Nicholas Zabaras (firstname.lastname@example.org) and include (in pdf format):
- a CV with the names of up to three references
- a statement of research experience, interests and goals
- up to 3 indicative publications/preprints.
Further details about the positions are available upon request. Evaluation of applicants will start immediately and continue until the positions are filled. Compensation levels are competitive based on prior background and experience.
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity and affirmative action employer with a strong commitment to fostering a culturally diverse atmosphere for faculty, staff and students. Women and minorities are encouraged to apply.