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Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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experience. Understanding of biogeochemical and ecological processes. Programming experience in Fortran, python, R, or a related language. Experience in geospatial and/or time series data analysis. Evidence of
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technical leadership in AI security evaluation mechanisms. Required Qualifications Master’s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience
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and analyze system performance statistical data to improve the quality of the network environment. Adhere to a customer serviced focused culture. Deliver ORNL’s mission by aligning behaviors, priorities
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research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector
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, infrastructure, and associated system components. Develop software (front-end and back-end), APIs, services, and microservices; design database schemas; manage data flows and storage. Work on deployment
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solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing
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. You will be involved with applied data management activities that support software development for scientific data projects in the Earth, climate, and environmental sciences, such as the Atmospheric
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key role in managing the flow of information and communications across our organization. In this position, you will: Oversee the management of incoming and outgoing information, ensuring timely and