Building Energy Analysis Engineer

Company: 

Fraunhofer USA

Location: 

Boston, MA

The Fraunhofer USA Center for Manufacturing Innovation CMI in Boston, MA is part of Fraunhofer USA, a 501 (c) (3) non-profit contract R&D organization. The Energy Systems team, located in Boston, MA, solves challenging applied research problems for the sustainable energy community. Our team of scientists and engineers works in partnership with clients ranging from the Federal Government and established companies to start-ups to develop, pilot, and validate technologies in the areas of building energy systems and grid-integration of renewables. To learn more about our applied R&D work, please visit: https://www.cmi.fraunhofer.org/en/services/energy-systems.html .

About the Position:

The Energy Systems team acquires and analyzes novel data sources to derive insights into building energy performance. In particular, we lead several federally-funded RD&D projects that leverage emerging data streams (e.g., from communicating thermostats and boilers, whole-building and sub-metered/disaggregated electric power) to: 1) forecast electrical loads and their flexibility; 2) identify energy-wasting faults and performance optimization opportunities; and 3) evaluate the real-world performance of building technologies. Ultimately, this work supports the transition to a sustainable energy future by reducing building energy consumption while enabling the electric grid to accommodate large quantities of renewable electricity and new demand from the electrification of space and water heating and transportation.

We seek a motivated team member to develop, test, and evaluate models and algorithms to predict the real-world energy performance of building equipment and systems, and to help acquire and analyze large datasets. You will also contribute to new project proposals, as well as publication in top-tier journals and conferences. This position has a high degree of growth potential and is an excellent opportunity for a talented analytically inclined engineer with strong interest in sustainability to address challenging and impactful problems.

Responsibilities:

  • Apply data-driven techniques and physics-based analysis to model the energy performance of building equipment and systems.
  • Acquire, analyze, and evaluate data from field tests to evaluate the real-world energy performance of buildings and building technologies.
  • Develop and specify custom data acquisition solutions to support data collection.
  • Co-author reports and research papers that effectively communicate research findings to different audiences, as well as government and industrial proposals.

Required Education and Experience:

  • • Undergraduate or advanced degree in building science, engineering physics, mechanical engineering, or a similar field.
  • • Experience with programming (e.g., Python, MATLAB).
  • • Strong interest in learning/applying analytical techniques to “noisy” real-world problems.
  • • Enthusiasm and aptitude for working with data and designing, building, troubleshooting, and testing data acquisition systems.
  • • Experience with databases and multi-GB datasets a plus.
  • • Experience with Building Energy Systems strongly preferred.
  • • Strong verbal and written communication skills and good interpersonal skills.
  • • Ability to work effectively independently with limited oversight.

In your cover letter, please explain what motivates you to apply and succinctly describe your most relevant work experience. Applications lacking a cover letter may not be seriously considered.

Fraunhofer USA is an EEO/Affirmative Action Employer of individuals with disabilities, protected veterans and is a federal contractor and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. Upon request, Fraunhofer USA will make accessible to applicants its Affirmative Action. VEVERRA and Section 503 Plans.

Apply to: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment....