Postdoctoral Research Associate - Computational Methods for Data Reduction

Oak Ridge National Laboratory • Oak Ridge, TN

82d

About The Position

The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.

Requirements

• A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years

Nice To Haves

• Experience in one more of the following areas: Mathematical tools for data analysis
• Numerical methods for differential and integral equations
• Modern machine learning software tools and frameworks
• Implementation of scalable numerical algorithms on HPC architectures
• Excellent written and verbal communication and interpersonal skills
• The ability to obtain and maintain a DOE Security Clearance

Responsibilities

• Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications
• Delivery and support of mathematical technologies for various scientific disciplines and applications
• Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations
• Active participation in professional organizations

Benefits

• Medical and retirement plans
• Flexible work hours
• On-site fitness, banking, and cafeteria facilities
• 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
• Employee Discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees