Research Scientist - AI​/Data Sciences and Applied Mathematics

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The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses on scientific computing with a strong emphasis on scientific machine learning and data analysis.

We are specifically interested in applicants with expertise in one or more of the following research areas:

• The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets;
• Energy efficient physics‑aware algorithms, capable of distributed learning on high performance and edge computing;
• The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence in predictions and compressed quantities of interest on defined domains;
• Fast and scalable algorithms to fit the proposed models to data, with a theory that explains the convergence and success of these techniques
• Detailed re‑analysis of the performance of the trained models to determine underlying processes that govern the given data.

This job offers an excellent opportunity to conduct exceptional and innovative research in mathematics, statistics and scientific computing, for applications with scientific and national priority. ORNL’s mathematics research efforts provide the fundamental mathematical methods and algorithms needed to model complex physical, chemical, and biological systems. ORNL’s computational science research efforts enable scientists to efficiently implement these models at the extreme scale of computing and to store, manage, analyze, and visualize the massive amounts of data that result.

ORNL’s artificial intelligence research provides the techniques to link the data producers, e.g., supercomputers and large experimental facilities, with the data consumers, i.e., scientists who need the data.

The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists (both theoretical and experimental) conducting basic and applied research in support of the Laboratory’s mission. Specific responsibilities include:

• Participating in the development of innovative theoretical analysis and computational methodologies for data analysis and/or machine learning technologies, customized to large-scale scientific applications. These include areas such as additive manufacturing, quantum material design, scientific data reconstruction, for material discovery, inverse methods, complex optimization, population and evolutionary dynamics, cyber security and power grid analysis, and uncertainty quantification for engineered systems.
• Collaboration with experts from various scientific disciplines and applications, and following team planning, goals and quality processes.
• Authoring peer reviewed papers, technical papers, reports and proposals.
• Maintaining memberships in professional, academic, and research organizations.

Contact Dr. Juan M Restrepo (restrepojm). Please reference DAML Staff.

• Research statement, including the technical background and significance of the research;
• A list of the names and email addresses of three referees that are qualified to describe the applicant’s distinct contributions to their field of research, the impact of their research and their potential for success. Please have this list sent to Mr. Tyler Davidson (davidsontg) with "DAML Staff” as the subject line. We will only contact these referees in the event that the candidate is short‑listed for the position;
• Optionally, one or two peer‑refereed articles, representative of the candidates’ research.

• Ph.D. in Mathematics, Statistics, Computer, Computational Sciences or a field relevant to the job duties of this position.
• Demonstrated record of peer‑reviewed research.
• The ability to obtain and maintain a national security clearance.