The NLR Computational Science Center’s Advanced Computing Operations group (ACO) is a focal point for data center operations and research. NLR’s award-winning energy-efficient data center is a living laboratory where researchers advance thermal management, liquid cooling and data center optimization efforts. As a living laboratory NLR both operates HPC capabilities on behalf of DOE and NLR but also is a focal point for research on advanced data center technologies and system integration. The ACO group has data center expertise in liquid cooling for high power density racks and takes a holistic systems approach to data center optimization from the server chip level out to the building facilities and campus levels. We are seeking a researcher focusing on modeling and experimental heat and mass transfer of energy systems applied to data center facilities. The successful candidate will join team members on cutting-edge data center, laboratory and analytical projects to research, develop, and evaluate heat and mass transfer components and systems. The successful candidate should have a strong background and understanding of heat and mass transfer, including theory, numerical modeling, and experiments. This job requires dominance of an engineering discipline, focused around mechanical systems, and controls, and necessitates the ability and interest to work in the data center and address physical wiring, fabrication and troubleshooting, design experiments, accomplish project management tasks, and function successfully in a team environment and as an individual performer. Under the general direction of senior staff, the successful candidate will:Develop, improve, and conduct first-principles numerical modeling of heat exchangers, thermal energy storage, and heating, ventilation, and air-conditioning (HVAC) systems. Design, develop, and analyze new HVAC processes and components applied to data centers. Perform laboratory experiments on fluid/thermal components and systems. Contribute to papers and reports. To learn more about the work our team does, check out the following links:NLR High-Performance Computing Data Center. NLR High-Performance Computing User Facility. NLR Computational Science. Basic Qualifications. Relevant Master's Degree . Or, relevant Bachelor's Degree and 2 or more years of experience . General knowledge and application of engineering technical standards, principles, theories, concepts and techniques. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good writing, interpersonal and communication skills. - Must meet educational requirements prior to employment start date. Additional Required Qualifications. Recent graduate with a strong academic and research record in relevant heat transfer, thermodynamics, and mass transfer field with emphasis on modeling and experimental research. Degree in mechanical engineering, architectural engineering, or relevant dissertation research in other engineering or science fields. Strong interpersonal communication skills (oral and written) and demonstrated ability to work independently. Preferred Qualifications. Heat and mass transfer fundamentals. HVAC fundamentals or refrigeration cycles – understanding of hydronic loops, cooling towers, dry coolers, air-handling units, and make-up air units. Building modeling, including integration with thermal storage or HVAC - Laboratory experiments and data acquisition systems. Numerical modeling techniques and computer programming. Experience programming in Engineering Equation Solver (EES), MATLAB, Python, or similar tools. Perform physical work in data center including wiring, interface design and build, commissioning of new equipment, and operation of complex experimental setups. Willingness to accept a variety of tasks, both technical and non-technical, to support group operations and business processes. Desire to learn and grow in a technical career.. Job Application Submission Window. The anticipated closing window for application submission is up to 30 days and may be extended as needed.