Postdoctoral Research Associate - Scientific Machine Learning

Requisition Id 13290 

Overview: 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 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 ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a 2 year post-doctoral opportunity in mathematics/statistics and scientific computing with a strong emphasis on scientific machine learning on probabilistic dynamics applications.

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 selected individual will join a team that is developing probabilistic and ensemble machine learning methods

for foundational AI models in massively networked dynamics problems. The junior scientist will also  participate in several on-going research projects across the lab, will  have access to advanced computer architectures and high performance machines (such as Frontier), and have first-hand opportunities to facilitate technology transfer from the laboratory research environment to industry and academia. MiC has a strong mentoring culture that provides junior scientists career and research guidance.

Major Duties and Responsibilities:

• Conduct leading-edge research in Scientific Machine Learning (SciML) on probabilistic dynamics applications.
• Interact with a diverse set of colleagues from both your own field, applications specialists, and others
• Work towards publishing new developments in high-profile peer-reviewed scientific journals or refereed conference proceedings; contribute to development of open-source software for high performance computing environments
• Travel as needed to support projects

Basic Qualifications:

• A PhD in mathematics, statistics, physics, computer science, engineering, or a related field completed within the last 5 years.
• Familiarity with Scientific Machine Learning (SciML), as evidenced by either completion of a graduate class that covered SciML or use of SciML in a research setting.
• Software development experience in C++ and Python. Familiarity with parallel programming, including experience developing MPI codes and programming GPUs.
• Research experience as evidenced by presentations, technical publications, released software and/or work with applications.

Preferred Qualifications:

• Extensive background in theoretical and applied probability, statistical physics, theoretical statistics, foundational aspects of data science or artificial intelligence.
• Experience in computational science and computational modeling.
• Experience with physics-informed deep learning.
• Passion around applying machine learning and computational methods to problems in science and engineering with experience solving problems in science and engineering that involve encounters with real world data.
• Excellent written and oral communication skills.
• Motivated self-starter with the promise or ability to work independently as well as to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
• Proven research community leadership through activities such as participation in student or professional organizations, service on committees, workshop and/or conference organization, and editorial roles
• Ability to acquire and maintain a DOE security clearance

Application Requirements:

Qualified applicants may apply online at . The posting will remain active the position is filled. Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

• A complete curriculum vitae;
• A research statement, including the technical background and significance of your research;
• Three letters of reference describing the applicant’s distinct contributions to their field of research.  Please have letters sent to Ms. Kasi Arnold at arnoldkl@ornl.gov with "HPEC Post-Doc” as the subject line.

 For more information about the position,  or for technical questions, please contact Dr. Juan M. Restrepo (restrepojm@ornl.gov).

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.

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.