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Research Scientist, HPC and AI

Date: Nov 17, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 9289 

 

 

Overview:

 

The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking a driven research scientist in the very broad areas High-Performance Computing (HPC) and AI and their intersection. Examples of areas of research 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 framework such as PyTorch and TensorFlow.
  • Operational data (power, energy, CPU/GPU utilizattion, 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 deploy new cutting-edge tools and frameworks of scalable ML/DL on leadership computing platforms.
  • In collaboration with domain scientists, identify and extract ML/DL workflow, and patterns, and drive the design, development, and deployment of new scalable ML-as-service solutions.
  • Engage with ML academic communities to stay on top of latest advancements in ML/DL.
  • Author peer reviewed papers, technical papers, reports, and proposals.


Basic Qualifications:

 

  • Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.


Preferred Requirements:

 

  • 2+ years of relevant research experience outside of Ph.D.
  • Experience leading major projects in laboratory or academic settings.
  • A 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.


Nearest Major Market: Knoxville