Hybrid Senior Research Engineer, Building Energy Modeling

Center for Energy and Environment; Minneapolis (MN); Hybrid; USD 120,000 - 125,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Health Saving Account (HSA)

Flexible Spending Accounts (FSA)

Retirement savings plan

Paid Time Off (PTO)

9 paid holidays

Professional development

Job summary

Center for Energy and Environment in Minneapolis seeks a Research Engineer II to lead research projects on energy efficiency in commercial and residential buildings. Responsibilities include building stock modeling, field studies, data analysis, and proposal development.

Ideal candidate has strong analytics, experience with ResStock/ComStock, Python or R, and ability to mentor staff. Hybrid work with occasional travel and opportunities for growth.

Qualifications

• PhD/MS/BS required in mechanical engineering or closely related field.
• Experience leading research projects and proposal development is preferred.
• Strong analytical and data modeling skills are essential.
• Experience with building stock modeling tools and energy systems analysis.
• Ability to mentor junior staff and collaborate across teams.

Responsibilities

• Lead research projects related to commercial and residential buildings.
• Develop project budgets, staff allocations, and work scopes.
• Apply building science to evaluate energy performance and indoor air quality.
• Develop and maintain energy/building system models.
• Lead proposal ideation and technical reports.

Skills

Building science

Data analysis

Project leadership

Communication

Statistical methods

Python

R

Mentoring

Education

PhD in mechanical engineering or related field

MS in mechanical engineering or related field

BS in mechanical engineering or related field

Tools

ResStock

ComStock

Python

R

Job description

Center for Energy and Environment in Minneapolis seeks a Research Engineer II to lead research projects on energy efficiency in commercial and residential buildings. Responsibilities include building stock modeling, field studies, data analysis, and proposal development.

Ideal candidate has strong analytics, experience with ResStock/ComStock, Python or R, and ability to mentor staff. Hybrid work with occasional travel and opportunities for growth.