Group Leader for AI/ML Group

Rochester, NY


The Theoretical Division at the University of Rochester’s Laboratory for Laser Energetics (LLE) is planning to create an artificial intelligence/machine-learning (AI/ML) Group to significantly expand LLE’s effort in applying ML tools to solve a variety of problems relevant to high-energy-density (HED) sciences, operate current laser facilities (OMEGA and OMEGA EP), as well as design and operate future HED facilities that will deliver ~100 of shots a day and will require sophisticated tools for facility operation, engineering, and data acquisition and analysis. LLE seeks an AI/ML expert to lead this group. The ideal candidate for this role should have a strong background in machine learning with focus on physical science and technology, with experience in leading teams and developing solutions that provide measurable outcomes. Candidates should have a Ph.D. in physics, astrophysics, computational physics, or a related field.

While applying online and creating their profile, applicants should upload the following additional documents:

  • a cover letter outlining how the applicant sees themselves contributing to the research project,

  • a curriculum vitae and a list of publications.

  • at least three letters of recommendation

  • a statement of research interests and accomplishments,

  • a vision statement for the AI/ML group’s future; and

  • a separate Diversity and Inclusion Statement, indicating past experiences and future goals for promoting a work environment that values diversity and inclusion.

If you encounter difficulties in uploading documents please e-mail for guidance.

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University’s mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.

How To Apply

All applicants must apply online.

EOE Minorities/Females/Protected Veterans/Disabled

Location: Laser Lab & COI
Full/Part Time: Full-Time
Opening: Full Time 40 hours Grade 000 LLE-Laboratory for Laser Energ