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University of Rochester: Office of the Provost: College of Arts, Sciences & Engineering: LLE-Laboratory for Laser Energ

Salary Range or Pay Grade

$82,500 - $ 110,000 annually

Description

The Theoretical Division at the University of Rochester's Laboratory for Laser Energetics (LLE) is planning to create an Artificial Intelligence/Machine-Learning (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 per day and will require sophisticated tools for facility operation, engineering, and data acquisition and analysis. LLE seeks a junior-level member for this group at the Assistant Scientist level.

Qualifications

• The ideal candidate for this role should have a strong background in machine learning with focus on physical science and technology. Candidates should have a Ph.D. in physics, astrophysics, computational physics, or a related field.

Application Instructions

Upload

• a cover letter

• a curriculum vitae and a list of publications.

• at least two letters of recommendation

• a statement of research interests and accomplishments

SALARY RANGE: $82,500 to $110,000 annually

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates are set within the job's compensation range, and determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Equal Employment Opportunity Statement

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.