Location: Knoxville, TN
Cap-Exempt H-1B Position — No lottery required
Requisition Id 16177 **Overview:** We are seeking an R&D Associate who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in the Energy Systems Integration section, Electrification and Energy Infrastructure Division, Energy Science and Technology Directorate, at Oak Ridge National Laboratory (ORNL). **Major Duties/Responsibilities:** - Proven R&D experience in urban-scale building energy modeling, software development (esp. Python), or Artificial Intelligence/Machine Learning (AI/ML) - Strong ideation, writing, and communication skills for establishing ideas and writing proposals that establish new projects - Understanding for creating, modifying, and analyzing OpenStudio and EnergyPlus building energy models - Design, implement, and optimize scalable software systems to manage and process large datasets related to building energy modeling and data visualization - Strong software development skills for automation of many knowledge-based tasks in a version-controlled environment - Demonstrated teamwork skills for coordinating work of multidisciplinary scientists and in collaboration with external stakeholders - Project management skills to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs - Prepare technical solutions, reports, and visuals to support a variety of planning project types, including transportation/grid, environmental, community, equity, and sustainability planning - Excellent communication skills for conveying technical material to both scientists and non-scientists in both written and oral presentations - Self-disciplined work ethic and eagerness to tackle challenging research problems - Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we trea