R&D Associate - Trustworthy Deep Learning Algorithms for Science

Requisition Id15639

Overview:

We are seeking a Junior Staff Research Scientist to develop, implement, and analyze state-of-the-art, trustworthy deep learning methods that advance scientific discovery. This position is for the Discrete Algorithms group, Mathematics in Computation Section, within the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL) and involves collaboration with multidisciplinary teams across data-rich science domains (e.g., quantum, energy, security, health) and mission-focused programs. You will contribute to, or lead, research on LLMs for scientific software and quantum compilers and on the assurance of deep learning for science (robustness, security/privacy, and uncertainty quantification). You will be expected to work independently and to participate creatively in collaborative teams across the laboratory.

Major Duties/Responsibilities:

• LLMs for scientific software and quantum compilers,
• Assurance of AI/ML for science (robustness, security/privacy, and uncertainty quantification).

• Participation in developing and analyzing new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications.
• Active participation in professional organizations.
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• Ph.D. in mathematics, computer science, computational science, engineering, physics, or a field relevant to the job duties of this position.
• At least two years of postdoctoral research experience.
• Effective communication skills.

Preferred Qualifications:

• Experience applying LLMs to scientific software and quantum program compilation/verification; familiarity with compiler toolchains (e.g., MLIR/QIR) is a plus.
• Experience in assurance of deep learning algorithms (robustness; security/privacy, e.g., DP or FL; and uncertainty quantification).
• Experience scaling training/inference on GPU-accelerated HPC systems and collaborating on multi-institution DOE projects.

Special Requirements:

A 2 to 3 page research statement, and an official or unofficial graduate school transcript are required.

Letters of Recommendation: Please provide the names of three references that can attest to your research expertise and record. Should the candidate be shortlisted they will be asked to arrange for letters of reference be sent directly via email tomudrichcd@ornl.govwith the subject line 'Reference Letter, Trustworthy Deep Learning Algorithms for Science'.

Security, Credentialing, and Eligibility Requirements:

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.