Requisition Id11587

Overview:

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.

The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods to advance multi-scale coupled physics simulations in support of the missions and programs of the US Department of Energy (DOE). ORNLs CCP conducts world-class research and development in multi-scale computational coupled physics large scale data analytics and DL and model-data integration at the DOEs leadership class Computing Facilities (LCFs). The successful candidate will demonstrate strong expertise and skills in data analytics development of surrogate and generative DL models high-performance computing (HPC) and computational sciences.

Major Duties/Responsibilities:

• Participate in: (1) design and implementation of scalable DL algorithms (2) design and architecture of integrated multi-scale coupled-physics computer codes and (3) documentation verification and validation and software quality activities.
• Author peer reviewed papers for journals and conferences technical reports open-source software and represent the organization by making technical presentations at workshops and conferences.
• Collaborate within a multi-disciplinary research environment consisting of computational scientists computer scientists experimentalists engineers and physicists conducting basic and applied AI/DL research in support of the Laboratorys missions.
• Engage with the broader DL community to develop and apply scalable physics-informed DL techniques to application areas of interest to the CCP group.
• 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.

Basic Qualifications:

• A PhD in applied mathematics computer science or an AI related field completed within the last 5 years
• Demonstrated expertise in writing advanced software in Python
• Demonstrated experience with the LINUX operating system LaTeX Git Python
• Demonstrated expertise in the design and implementation of deep learning algorithms in PyTorch
• Expertise in object-oriented programming and scripting languages
• Parallel algorithm and software development using the message-passing interface (MPI) particularly as applied to AI/ML algorithms
• Demonstrated effective written and oral communication skills a proven publication record and effective interpersonal skills.

Preferred Qualifications:

• Experience working in a multi-disciplinary research environment that follows modern software quality standards (version control unit testing continuous integration etc.).
• Experience in the development of large-scale physics simulation codes including computational scaling and efficiency for hybrid exascale supercomputing systems.
• Programming model for multicore and heterogeneous architectures such as graphical processing units (GPUs).
• Motivated self-starter with the ability to work independently and 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

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 for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

Candidates are asked to submit a detailed cover letter describing their experience relative to the duties and qualifications described in this posting with their application.

Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov
• View Profile
• Under the My Documents section select Add a Document

Technical questions:

Massimiliano Lupo Pasini (lupopasinim@ornl.gov) Matt Bement (bementmt@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:Prescription Drug Plan Dental Plan Vision Plan 401(k) Retirement PlanLife Insurance Pet Insurance 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.

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.