NIST PREP Research Associate in Modelica Modeling in Support of a Building Digital Twin
SURA is a nonprofit consortium of 57 member universities that advances collaborative scientific research and education, operates research programs and staffing initiatives, and participates in operating Jefferson Lab through the SURATech joint venture.
About Southeastern Universities Research Association
Established in 1980 to pursue construction and operation of the Continuous Electron Beam Accelerator Facility, SURA now supports large-scale scientific collaboration, talent development, space-science programs, NIST research opportunities, and the operation of Jefferson Lab through SURATech with Virginia Tech.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will review and improve existing Modelica models for the Intelligent Building Agents Laboratory. You will identify tunable parameters, develop or modify models for FMU co-simulation, add Guideline 36 controllers, present results, and archive research outputs and documentation.
Requirements
- Undergraduate degree in Computer Science or Engineering
- Experience with Modelica modeling using the Buildings library
- Strong oral and written communication skills
- U.S. citizenship preferred
- Experience with Modelica modeling in OpenModelica preferred
- Experience with FMUs and co-simulation in Python preferred
Responsibilities
- Review and understand existing models
- Identify parameters that need tuning
- Modify and develop models as needed
- Add Guideline 36 controllers to the model
- Present results at internal and occasional external stakeholder meetings
- Archive or transmit results, protocols, software, and documentation