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Construction) to ensure alignment with Scope and Objectives, Proactively identify potential design issues (cost over runs, quality, code compliance, etc.), and resolve them in a timely manner as to not impact
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layers, modulation and coding, synchronization, channel estimation, and link management Build and validate over-the-air links and testbeds; conduct lab and field trials to characterize performance (e.g
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on-premises and in the cloud. Work with researchers and developers to configure complex pipelines to streamline multiple code repositories for automated deployments/upgrades, and work with others across
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, or model-based RL for scientific reasoning and materials design. An excellent record of productive and creative research shown by a record of publications in peer-reviewed journals, and Demonstrated coding
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common languages such as Python and bash Understanding of versioning and code review tools like GitHub and GitLab Experience with configuration management tools such as Puppet or Ansible Experience
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the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research and in dealing with others. Employ best practices, such as holding regular meetings, being
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. Participate in code reviews and promote best practices for test automation. Gather and present testing metrics and reporting. Collaboration & Process Work as part of an Agile development team, updating user
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(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
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visit https://www.ornl.gov/directorate/isotopes for more information about ISED. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting