**Overview**

The Electricity Infrastructure and Buildings Division of PNNL is accelerating the transition to a decarbonized, efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and in advanced data analytics to drive innovation, transform markets, and shape energy policy.

PNNL’s Buildings Systems Group performs applied research to enhance the energy and water efficiency, occupant productivity, and resilient operation of buildings and their connected energy and water systems. Our core research capabilities span building performance evaluation, building control system optimization, building technology measurement, validation, and demonstration, and site-level assessment, techno-economic and lifecycle assessment, and planning for energy and water resilience. We work closely with over 300 subject matter experts across the broader Electricity Infrastructure & Buildings Division to support the Nation’s transition to a sustainable, efficient, resilient, and secure energy system through innovation and actionable solutions.

**Responsibilities**

We are seeking a detail-oriented Postdoctoral Researcher with experience in data analysis with programming (R and Python), coupled with knowledge of residential building energy systems and building science. The successful candidate will leverage their strong background in building energy systems and building science, along with their technical knowledge and data analysis skills, to assist with the development and update of energy/water consumption models, data collection and organization, development of analytical frameworks, and comprehensive analysis. The candidate will contribute to the development of tools for estimating energy consumption and to projects supporting quantification of non-energy impacts related to energy efficiency and retrofits in the residential sector. Tasks associated with these projects are likely to include conducting literature reviews, contributing to quantification methods, coding/analysis using large datasets, documentation of methods, development of visualizations, and assisting with writing.

The successful candidate will be accountable to: Project and/or Task Managers for performing assigned roles, following applicable project and field procedures, and performance of assigned tasks on time and within budget; and the Building Systems Group Leader, for staff development, performance evaluation, and operational discipline (e.g., safe operations). The candidate will apply basic engineering and scientific theories to conduct work that supports the selection and development of technical approaches to complex problems with oversight.

The individual will be expected to support our scientists, engineers, and analysts on tasks and projects; support the generation of new ideas for and contributes technical content for small to medium proposals; supports scoping, scheduling, and budgeting for tasks; demonstrates ability to follow guidance, coaching, and mentoring; perform research, development, and analysis tasks with a high degree of quality, attention to detail, safety, and security awareness. In this position, the individual will collaborate with one or more principal investigators of current work, and directly contribute to one or more technical papers suitable for submission to a peer-reviewed journal.

Primary responsibilities include:

+ Analyze data related to residential building energy/water consumption and utility expenses using programming

+ Develop and modify existing models for energy and water-related utility consumption

+ Generate detailed reports and visualizations to communicate complex data in an accessible manner

+ Develop tools to estimate non-energy impacts of retrofits

**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:

+ Highly-motivated and independent researcher with a demonstrated record of scholarship and technical expertise in data management and analysis for building science and building energy system, statistics and data science

+ Experience/interest in building energy efficiency and building science, with preference given to candidates with experience in the residential buildings sector

+ Demonstrated proficiency programming skills for data analysis in R and Python (Pandas)

+ Familiarity with the relevant datasets, i.e. RECS, ResStock, is preferred

+ Interest/background in measuring non-energy impacts of residential building retrofits

+ A collaborative approach to problem-solving and the ability to work well with geographically distributed and interdisciplinary teams

+ Demonstrated ability to write concisely and clearly

+ A passion for learning and innovation to advance building energy efficiency and sustainability

**Hazardous Working Conditions/Environment**

Not applicable.

**Additional Information**

Not applicable.

**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, Diversity, Equity, Inclusion, and Equal Employment Opportunity**

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), 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 [email protected] .

**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.

**HSPD-12 PIV Credential Requirement**

In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

**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, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, 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 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

* Research Associates excluded.

**Once eligibility requirements are met.

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.