Post Doctoral Research Associate - AI for Building Energy Systems

Pacific Northwest National Laboratory

Richland, WA

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JOB DETAILS

SALARY

SKILLS

Academic Research, Adjudication, Alternative Energy, Analysis Skills, Architectural Engineering, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Background Investigation, Biology, Budget Management, Budgeting, Cross-Functional, Data Analysis, Data Mining, Earth Sciences, Electricity, Energy & Utilities, Energy Efficiency, Energy Management, Energy Modeling, Engineering, Environmental Management, Environmental Sciences, Equal Employment Opportunity (EEO), Government, Home Automation, Homeland Security, Hubs, Leadership, Machine Learning, Maintain Compliance, Mechanical Engineering, Mentoring, Modeling Languages, Molecular Analysis, Performance Analysis, Performance Reviews, Physical Science, Policy Analysis, Policy Development, Problem Solving Skills, Project Execution, Project Schedule, Proposal Development, Proposal Writing, Prototyping, Publications, Python Programming/Scripting Language, Recreation, Research Skills, Schedule Development, Scientific Research, Simulation, Software Development, Software Engineering, Systems Analysis, Team Lead/Manager, Team Player, Technical Analysis, Technical Delivery, Technical Publications, Technical Research, Technical Support, Testing, Time Management, United States Department of Energy (DOE), Workflow Analysis

LOCATION

Richland, WA

POSTED

22 days ago

**Overview** At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The?Energy and Environment Directorate?delivers?science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The?Electricity Infrastructure and Buildings Division, part of the Energy and Environment Directorate, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. **Responsibilities** At Pacific Northwest National Laboratory (PNNL), we are solving some of the nation's greatest energy challenges by delivering transformative research and scalable innovations. The?Electricity Infrastructure and Buildings Division, part of the Energy and Environment Directorate, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. This position is in the **Building Simulation and Design Group (BS&DG)** within PNNL's **Electricity Infrastructure and Buildings Division** . BS&DG conducts modeling and analysis to evaluate the impacts of building energy policies, codes, and standards; develops tools and workflows to support building research and decision making; and helps accelerate adoption of energy efficient technologies. The group maintains core research capabilities in building energy simulation, building energy policy analysis, and tool development for building applications. BS&DG is seeking a **Postdoctoral Research Associate - AI for Building Energy Systems** . The successful candidate will be accountable to Project and/or Task Managers for performing assigned roles, following applicable project and field procedures, and completing assigned tasks on time and within budget. The candidate will also be accountable to the Group Leader and Team Leader for staff performance and development, operational discipline, and project execution. This position is based in Portland, OR, Richland, WA, or Seattle, WA and requires an onsite presence. Hybrid work arrangements may be available in accordance with laboratory policy, project needs, and team expectations. This role will support AI-enabled building energy systems research under DOE mission areas, with applications that may include building energy modeling, code compliance checking, permitting, large-scale performance data analysis, workflow automation, building controls and operations, workforce training, data mining, and AI-enabled software tools. The successful candidate will join multi-disciplinary project teams and contribute to research on AI methods, computational methods, and technical workflows for building research, analysis, and decision making, while growing toward increased technical independence. + Conduct research in AI-enabled building energy systems research under a given mission area, including generative AI, large language models, and agentic systems for building research applications. + Develop and apply generative AI, large language model, and agentic methods for building research applications, including support for data preparation, testing, and technical evaluation. + Develop and support analysis methods, modeling workflows, tools, and prototypes for building research applications under guidance from project leads. + Contribute to technical products, analyses, and research outputs that support building research and decision making. + Contribute to existing building research and engineering projects in these application areas, including projects with established workflows and projects transitioning toward AI-enabled approaches. + Execute assigned technical tasks and deliver high-quality work within defined scope, schedule, and project expectations. + Work with project teams and collaborators to support technical tasks and respond to project needs. + Work effectively within interdisciplinary teams and collaborate closely with mentors, project leads, and teammates. + Support proposal development through technical analysis, literature review, or background research. + Contribute to technical reports, publications, and presentations related to assigned research. + Stay current with relevant literature, methods, and tools in support of assigned research and professional growth. Applicants are strongly encouraged to submit a full academic or research CV. **Qualifications** Minimum Qualifications: + Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university. Preferred Qualifications: + PhD in architectural engineering, building science, mechanical engineering, or a closely related field, with strong potential to conduct independent research. + Experience conducting building energy system analyses, such as modeling, controls analysis, or system performance evaluation. + Experience developing or experimenting with AI or machine learning methods in engineering or scientific research applications. + Experience programming in Python or similar languages to support modeling, simulation, or research data analysis. + Experience contributing to research projects and delivering technical work within defined project scope and schedule. + Experience supporting proposal preparation, such as technical analysis or background research. + Record of technical publications or research contributions from doctoral research. + Experience communicating research results through presentations or publications. **Hazardous Working Conditions/Environment** Not Applicable **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $69,000.00/Yr. **Maximum Salary** USD $119,100.00/Yr.

About the Company

Pacific Northwest National Laboratory

INDUSTRY

Other/Not Classified