Requisition Id12164

Overview:

The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure the division also hosts the Oak Ridge Leadership Computing Facility (OLCF) a Department of Energy Office of Science User Facility.

We seek to hire a Computational Scientist Artificial Intelligence to join ourAdvanced Computing for Chemistry and MaterialsGroup within the Science Engagement section of NCCS. In this role you will serve as a liaison between NCCS and the users of the NCCS computing resources and relevant NCCS vendor partners providingdeep technical expertise in high performance computing that can be applied to a diverse range of scientific disciplines.

As a member of the Advanced Computing for Chemistry and Materials group you will partner with HPC and data analytics users in quantum chemistry soft matter physics materials science generative artificial intelligence and biomedical sciences to enable promote and optimize the use of using the world class facilities provided by NCCS. You will liaise withand represent users and user applications within NCCScarry out independent research and provide broad expertisetechnical input and service within the division to assist in strategic decision making future system and infrastructure development procurement and deployment and to further the mission of NCCS and Oak Ridge National Laboratory.

As a U.S. Department of Energy (DOE) Office of Science national laboratory ORNL has an extraordinary 80-year history of solving the nations biggest problems. We have a dedicated and creative staff of over 6000 people! Our vision for diversity equity inclusion and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNLs broader mission to accelerate scientific discoveries and their translation into energy environment and security solutions for the nation.

Major Duties/Responsibilities:

• Deliver ORNLs mission by aligning behaviors priorities and interactions with our core values of Impact Integrity Teamwork Safety and Service. Promote diversity equity inclusion and accessibility by fostering a respectful workplace in how we treat one another work together and measure success
• Establishing communicating and using best practices for effectively using HPC resources
• Represent the needs of a broad range of application communities for NCCS planning and decision-making
• Forge collaborations with other researchers both internally at ORNL and externally on topics of mutual interest. This includes collaborating scientifically with awarded OLCF projects
• Attend conferences and engage in professional societies to foster building an inclusive scientific community
• Conduct research and report results in journal articles conference submissions andtechnical manuals develop research proposals
• Provideexpertisein current OLCF procurement activities and assist in capability planning exercises for future OLCF procurements

Basic Requirements:

• Ph.D. in Chemistry Physics Computer science Machine learning Data science Mathematics Biology Medicine or another related field.
• Minimum of1yearof experience inapplying machine learning and data science methods in a scientific domain beyond the Ph.D.
• Practical experience with implementing numerical methods in common scientific computing programming language (i.e. C C++ CUDA Python Julia Fortran).

Preferred Qualifications:

• Excellent communication skills and the desire to work collaboratively as part of a diverse and dynamic team environment.
• Strong personal motivation to identify and pursue novel and innovative research topics and provide leadership in artificial intelligence applied to science
• Parallel software developmenttargeting large-scale computational resources
• Experience with one or more prominent domain science codes e.g. for electronic structure particle dynamics or computational fluid dynamics
• Experience with one or more general-purpose machine learning frameworks (e.g. PyTorch Tensorflow Jax)
• Experience working with large language models or generative AI especially applied to physical sciences
• Experience in developing novel numerical or machine learning methods
• Experience in engaging with experimental scientists and communicating across scientific domains
• Demonstrated experience to develop software targeting heterogeneous accelerated computer architectures (for example using Nvidia or AMD GPUs or special-purpose hardware)
• Experience in a domain aligned with US DOE Office of Science mission areas (BES BER ASCR)
• Working knowledge of the software stack on a leadership computing platform includingsoftwaredevelopment toolchain runtime systems and debugging/performance tools.

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits including medical and retirement plans and flexible work hours to help you and your family live happy and healthy. Employee amenities such as on-site fitness banking and cafeteria facilities are also provided for convenience.

In addition we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.

Other benefits includethe following: Prescription Drug Plan Dental Plan Vision Plan 401(k) Retirement Plan Contributory Pension PlanLife 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.

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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.