Address
Form of workPosting Title
Postdoc: AI for Clean Energy
Location
CO - Golden
Position Type
Postdoc (Fixed Term)
Hours Per Week
40
COVID-19 Safety Protocols
Employment at NREL is contingent upon your compliance with all NREL and U.S. Department of Energy (DOE) safety protocols and mitigation efforts directed at the COVID-19 pandemic.
Working at NREL
The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.
From day one at NREL, you'll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you'll have the opportunity to engage through our eight employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.
Our planet needs us! Learn about NREL's critical objectives, and see how NREL is focused on saving the planet.
Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.
Job Description
NREL's hybrid energy systems team has an immediate opening for a full-time postdoctoral researcher for studying various aspects of the use of Artificial Intelligence in devising clean energy solutions with a particular emphasis on developing novel algorithms for applied energy challenges while addressing aspects of data quality and bias.
The Hybrid Energy Systems group performs research to advance the research, integration, and demonstration of thermal, mechanical, wind, solar, battery and other storage technologies as well their end uses in mobility, buildings, and industrial processes involving the orchestration of 1000s of edge devices at individual, local, regional, to national scales. In this pursuit we work closely with the U.S. Department of Energy (DOE), industry partners, and academic institutions. The group's work involves the development of modeling, simulation, emulation, control, and optimization approaches for various combinations of energy generation and end use applications.
The successful candidate for this position will be responsible for:
• Developing foundational AI techniques, algorithms, and solutions involving clean energy technologies that can be vetted in experimental setups
• Conducting interdisciplinary Artificial Intelligence research involving the understanding and quantification of bias in AI solutions involving buildings and transportation
• Discovering and developing techniques to incorporate streaming data at the edge that are used to enhance AI solutions
• Working with domain scientists to understand and translate the domain drivers into requirements for the AI solutions
• Maintain an active publishing profile in peer reviewed journals and top tier conferences
The ideal candidate will have:
• Deep knowledge of computing or computational approaches for modeling, simulation, and/or control of instrumented systems
• Demonstrated knowledge of machine learning, deep learning, active learning, transfer learning, etc.
• Knowledge of statistical techniques including sampling strategies and the design of experiments
• An interest in societal aspects of the use of AI for engineering solutions
• Knowledge of C/C++, Python, or Julia and the use of AI libraries on GPUs
• Knowledge of High-Performance Computing is highly desirable
• Strong social and communication skills and experience in working with multidisciplinary teams.
• Strong publication records in the areas of expertise.
• Experience in working with multidisciplinary teams.
This position requires effective knowledge sharing and dissemination through publications, presentations, open source or licensed software and data products, community communication and engagement, and invention disclosures.
Basic Qualifications
Must be a recent PhD graduate within the last three years.
Additional Required Qualifications
PhD in Computer Science, Computer Engineering, Computational Science, Mechanical Engineering, Electrical Engineering, or related disciplines.
Preferred Qualifications
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Postdoctoral Researcher / Annual Salary Range: $71,300 - $117,600
NREL takes into consideration a candidate's education, training, and experience, as well as the position's work location, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.
* Based on eligibility rules
Submission Guidelines
Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify|For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
Postdoc: AI for Clean Energy
Location
CO - Golden
Position Type
Postdoc (Fixed Term)
Hours Per Week
40
COVID-19 Safety Protocols
Employment at NREL is contingent upon your compliance with all NREL and U.S. Department of Energy (DOE) safety protocols and mitigation efforts directed at the COVID-19 pandemic.
Working at NREL
The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.
From day one at NREL, you'll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you'll have the opportunity to engage through our eight employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.
Our planet needs us! Learn about NREL's critical objectives, and see how NREL is focused on saving the planet.
Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.
Job Description
NREL's hybrid energy systems team has an immediate opening for a full-time postdoctoral researcher for studying various aspects of the use of Artificial Intelligence in devising clean energy solutions with a particular emphasis on developing novel algorithms for applied energy challenges while addressing aspects of data quality and bias.
The Hybrid Energy Systems group performs research to advance the research, integration, and demonstration of thermal, mechanical, wind, solar, battery and other storage technologies as well their end uses in mobility, buildings, and industrial processes involving the orchestration of 1000s of edge devices at individual, local, regional, to national scales. In this pursuit we work closely with the U.S. Department of Energy (DOE), industry partners, and academic institutions. The group's work involves the development of modeling, simulation, emulation, control, and optimization approaches for various combinations of energy generation and end use applications.
The successful candidate for this position will be responsible for:
• Developing foundational AI techniques, algorithms, and solutions involving clean energy technologies that can be vetted in experimental setups
• Conducting interdisciplinary Artificial Intelligence research involving the understanding and quantification of bias in AI solutions involving buildings and transportation
• Discovering and developing techniques to incorporate streaming data at the edge that are used to enhance AI solutions
• Working with domain scientists to understand and translate the domain drivers into requirements for the AI solutions
• Maintain an active publishing profile in peer reviewed journals and top tier conferences
The ideal candidate will have:
• Deep knowledge of computing or computational approaches for modeling, simulation, and/or control of instrumented systems
• Demonstrated knowledge of machine learning, deep learning, active learning, transfer learning, etc.
• Knowledge of statistical techniques including sampling strategies and the design of experiments
• An interest in societal aspects of the use of AI for engineering solutions
• Knowledge of C/C++, Python, or Julia and the use of AI libraries on GPUs
• Knowledge of High-Performance Computing is highly desirable
• Strong social and communication skills and experience in working with multidisciplinary teams.
• Strong publication records in the areas of expertise.
• Experience in working with multidisciplinary teams.
This position requires effective knowledge sharing and dissemination through publications, presentations, open source or licensed software and data products, community communication and engagement, and invention disclosures.
Basic Qualifications
Must be a recent PhD graduate within the last three years.
Additional Required Qualifications
PhD in Computer Science, Computer Engineering, Computational Science, Mechanical Engineering, Electrical Engineering, or related disciplines.
Preferred Qualifications
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Postdoctoral Researcher / Annual Salary Range: $71,300 - $117,600
NREL takes into consideration a candidate's education, training, and experience, as well as the position's work location, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.
* Based on eligibility rules
Submission Guidelines
Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify|For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
