undefined page loaded

Already have an account? Sign In

Scientist

University of Rochester: Office of the Provost: Academic Center: LLE-Laboratory for Laser Energ

Location

Laboratory for Laser Energetics

Open Date

Apr 15, 2026

Salary Range or Pay Grade

$100,000-$140,000 annually

Description

POSITION SUMMARY

The Artificial Intelligence and Machine Learning (AI/ML) Group in the Theory Division of the LLE is seeking an outstanding research scientist to advance AI/ML initiatives across the inertial confinement fusion (ICF) program. This role integrates rigorous scientific investigation and theoretical insight with expertise in AI/ML methods, translating these capabilities into practical impact in process optimization, diagnostic data analysis, agentic AI development, and data management. The successful candidate will make significant contributions to on-going efforts in optimization of material system fabrication processes, LLM-orchestrated agentic system development, and support efforts in physics-informed and PDE-based AI/ML code development.

Candidates must have strong experience in scientific AI/ML methods, differentiable programming, and experimental modeling, as well as solid programming skills in Python, PyTorch, JAX, or other AI/ML and differentiable programming languages. The ideal candidate will have expertise in one or more of the following areas: computational science and engineering, computer science, and materials science and process optimization.

Responsibilities

- Take a leading role in designing AI/ML frameworks to aid in process optimization and fabrication of high-quality optical materials and devices for high-power, high-energy laser systems
- Oversee the development of a secure, internal RAG-based chat service and scientific knowledge retention/recommendation system
- Contribute to the development and uncertainty estimation of AI emulators for physics-based codes used in ICF research
- Develop inverse design and real-time optimization capabilities using INNs, GNNs, neural operators, or other appropriate methods
- Collaborate with experimentalists and engineering staff to deploy scalable and real-time ML tools
- Publish research results in high-impact, peer-reviewed journals
- Serve as principal investigator or co-investigator on Genesis Mission and other research proposals
- Advise graduate and undergraduate students conducting AI/ML research

Qualifications MINIMUM EDUCATION & EXPERIENCE:

- Ph D in machine learning, physics, computational physics, computer science, applied mathematics, or engineering
- Demonstrated proficiency in scientific computing with one or more of: Python, PyTorch,



Julia, Jax, C++, Java or other contemporary computing languages
- At least five years of research experience in computational sciences, including a minimum of two years of postdoctoral experience at national laboratories or universities
- Strong written and oral communication skills
- Ability to work effectively, both independently and as part of a multidisciplinary team

Application Instructions The Applicant Should Submit

- a cover letter;
- a curriculum vitae and a list of publications;
- at least two letters of recommendation

SALARY RANGE: $100,000 to $140,000 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 checkbox label label

Consent Leg.Interest checkbox label label checkbox label label checkbox label label

📌 Scientist [181818] (Laskein)
🏢 U.S. Fusion Energy
📍 Laskein