21 automatic-control-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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following areas: automated controls, SLAM, autonomous navigation, or trajectory planning. Experience integrating hardware, deploying, and evaluating algorithms on physical robots. Proficiency in Python
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the My Documents section, select Add a Document This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without
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changing needs For additional information, contact Dr Adam Guss (https://www.ornl.gov/staff-profile/adam-m-guss ; email address [email protected] ) or Dr Carrie Eckert (https://www.ornl.gov/staff-profile
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research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular
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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
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version control, unit testing, documentation, and continuous integration. Motivated self-starter with the ability to work independently, participate creatively in collaborative teams, function well in a
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) and hyperparameter optimization or AutoML techniques. Proficiency in Python and familiarity with software engineering best practices (version control, testing, documentation). Experience with HPC
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computing), EMT simulations, and power electronics control. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models for transmission or distribution grids, synchronous generators, large
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., Python or R; reproducible workflows; version control) Experience or interest in AI/ML application to ecophysiological research Preferred Qualifications: Hands-on experience with lab/growth chamber and/or
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integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted discovery of novel