Researcher in Computer Engineering

Requisition Id 9303 

Overview:

The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking driven senior and distinguished research scientists in the very broad areas of High-Performance Computing (HPC) and AI and their intersection. Examples of research areas of interest include, but not limited to:

• Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently.
• Data parallelism, model-parallelism, collective communication patterns and strategies for large-scale, distributed machine learning using frameworks such as PyTorch and TensorFlow.
• Operational data (Power, energy, CPU/GPU utilization, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation
• AI algorithms for handling sensitive data using methods such as Federated Learning, Differential Privacy, and Secure Multiparty Computing, among others.
• Data analytics pipelines from the Edge to Exascale.
• Visualization of large-scale HPC/AI discovery campaigns.

The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.

Major Duties and Responsibilities:

• Research, develop and coordinate division activities in HPC-AI with cross-cutting initiatives in the laboratory by establishing forward-looking centers of excellence.
• Lead and collaborate with internal and external researchers on a variety of extreme-scale AI/ML research and projects.
• Lead in authoring peer reviewed papers, technical papers, reports, and proposals.
• Advance personal and staff contributions in leading professional, academic, and research organizations.
• Develop, Integrate, and deploy research in AI/ML algorithms and workflows on high performance computing systems.

Basic Qualifications:

• Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
• A minimum of 6 years of relevant research experience outside of Ph.D.

Preferred Requirements:

• Experience leading major projects in laboratory or academic settings.
• Strong publication record and record of developing high-impact capabilities and tools.

ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here:  https://www.ornl.gov/content/research-integrity

Benefits at ORNL:

UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic, and free Fitness facilities.   

Relocation:

UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for this position.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

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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.