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Description
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Modelica Modeling in Support of a Building Digital Twin
The work will entail:
NIST has several projects related to digital twins in the built environment. These projects are developing the infrastructure needed to ease the development and deployment of digital twins and inform existing and future standards. The Intelligent Building Agents Laboratory (IBAL) is being used in these efforts. A Modelica model was developed for the IBAL, but this model needs to be improved and updated so that it can be used to demonstrate the full physical-digital twin workflow. Guideline 36 controllers need to be added to the model, and the parameters that will be tuned to align the digital twin with the physical twin need to be identified. Some of these parameters are not tunable when the model is converted to an FMU for co-simulation, so some models will need to be modified or developed to make those parameters available after the FMU has been compiled.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
§ Reviewing and understanding the existing models.
§ Identifying the parameters that need to be tuned.
§ Modifying and developing new models as needed.
§ Adding Guideline 36 controllers to the model.
§ Presenting results at internal meetings, and occasional meetings with external stakeholders.
§ Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.
Qualifications
§ An undergraduate degree in Computer Science or Engineering.
§ Experience with Modelica modeling using the Buildings library.
§ Preferred experience with Modelica modeling in OpenModelica.
§ Preferred experience with FMUs and co-simulation in Python.
§ Strong oral and written communication skills.
A master's or PhD in engineering or physics or related field.
A background in performing experimental work, data collection and analysis.
Ability to control, operate and automate scientific test equipment and instrumentation.
Familiarity with MATLAB or Python.
Strong oral and written communication skills.
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
Equal Employment Opportunity Statement
Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
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After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.
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