UF
Group Leader For Ai/Ml
u.s. fusion energy · Not specified · onsite · Posted 40d ago
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AI/ML Group Leader (Research Engineer)
University of Rochester: Office of the Provost: Academic Center: LLE-Laboratory for Laser Energ
Location
Laboratory for Laser Energetics
Open Date
Feb 17, 2025
Salary Range or Pay Grade
$90,000-$175,000 annually
Description
The Theoretical Division at the University of Rochester's Laboratory for Laser Energetics (LLE)has recently formed 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.
Qualifications
Candidates should have a MS or Ph.D. in physics, astrophysics, computational physics, or a related field. physics, astrophysics, computational physics, or a related field.
Application Instructions
Candidate should submit
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.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
Equal Employment Opportunity Statement
EOE, including disability/protected veterans
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture 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 characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.
© 2026 Elsevier Inc. or its licensors and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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AI/ML Group Leader (Research Engineer)
University of Rochester: Office of the Provost: Academic Center: LLE-Laboratory for Laser Energ
Location
Laboratory for Laser Energetics
Open Date
Feb 17, 2025
Salary Range or Pay Grade
$90,000-$175,000 annually
Description
The Theoretical Division at the University of Rochester's Laboratory for Laser Energetics (LLE)has recently formed 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.
Qualifications
Candidates should have a MS or Ph.D. in physics, astrophysics, computational physics, or a related field. physics, astrophysics, computational physics, or a related field.
Application Instructions
Candidate should submit
- a cover letter
- a curriculum vitae and a list of publications.
- at least two letters of recommendation
- a statement of research interests and accomplishments,
- a vision statement for the AI/ML group's future; and
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.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
Equal Employment Opportunity Statement
EOE, including disability/protected veterans
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture 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 characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.
© 2026 Elsevier Inc. or its licensors and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Support|Careers|Accessibility Policy|Cookies Settings|Privacy Policy|Terms of Service
We use cookies that are necessary to make our site work. We may also use additional cookies to analyze, improve, and personalize our content and your digital experience. You can manage your cookie preferences using theCookie settings link. For more information, see ourCookie Policy
Opt-Out Request Honored
Cookie Preference Center
We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors.
You may choose not to allow some types of cookies. However, blocking some types may impact your experience of our site and the services we are able to offer. See the different category headings below to find out more or change your settings.
You may also be able to exercise your privacy choices as described in our Privacy Policy
Manage Consent Preferences
Strictly Necessary Cookies
Always active
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
Functional Cookies
Functional Cookies
These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.
Performance Cookies
Performance Cookies
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site.
Targeting Cookies
Targeting Cookies
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. If you do not allow these cookies, you will experience less targeted advertising.
Cookie List
Search Icon
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Sourced from foundit
Skills
Data acquisition and analysishigh-energy-density (HED) sciencesML toolsArtificial IntelligenceMachine Learning