Requisition Id 11224 

Overview: 

Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. 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. With a dedicated and creative staff of over 6,000 people, ORNL’s decadal 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. 

We are seeking a Postdoctoral Research Associate who will focus on building scalable numerical algorithms for scientific graphs and machine learning for high performance computers.  This position resides in the Discrete Algorithms group in the Mathematics in Computation Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL).  

Major Duties/Responsibilities: 

• This position necessitates collaboration within a diverse, multi-disciplinary research team. The team consists of mathematicians, computational and computer scientists, and domain scientists with theoretical and experimental expertise. The primary objective is to conduct comprehensive and applicable research that aligns with the mission of the Laboratory.
• The incumbent will participate in developing and analyzing scalable numerical algorithms. These algorithms, designed for scientific graph problems and machine learning applications, are often tailored to address large-scale and complex scientific applications.
• The role involves delivering and supporting these numerical algorithms in high-performance software libraries to facilitate advancements in various scientific disciplines.
• Research findings are to be disseminated through peer-reviewed papers, technical reports, and presentations at professional seminars and conferences.
• The position requires active engagement in professional organizations. This involves membership, contributing to discussions, assuming leadership roles, and progressing the discipline.
• The incumbent is expected to align their behaviors, priorities, and interactions with the mission of ORNL, guided by our core values of Impact, Integrity, Teamwork, Safety, and Service."
• This role requires promoting a respectful workplace environment prioritizing diversity, equity, inclusion, and accessibility. Our measure of success extends beyond scientific achievements to how we interact and collaborate.
• Deliver ORNL’s 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 Mathematics, Computer Science, Computational Science, Engineering, Physics, or a related field completed within the last 5 years

Preferred Qualifications:

• Build scalable sparse numerical algorithms for scientific graphs and machine learning models targeting high performance computers
• Experience on machine learning libraries and packages in Python/C/C++ preferably on HPC platform.
• Multimodal AI models using graphs, sequences, and images.
• Excellent written and oral communication skills.
• 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.

For further information, contact Dr. Juan Restrepo (restrepojm@ornl.gov ). Please reference the position title and number when corresponding to this position.

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 Plan, Life 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.

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

Special Requirements:

Reference Letters:

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

Research Statement: Please submit a research statement with your application.

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.

Nearest Major Market: Knoxville