Posting Title

Postdoctoral Researcher - AI/ML and Active Learning

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Location

CO - Golden

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Position Type

Postdoc (Fixed Term)

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Hours Per Week

40

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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 ten 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

The AI, Learning, and Intelligent Systems (ALIS) group in the NREL Computational Science Center has an opening for a full-time postdoctoral researcher in machine learning (ML), with an emphasis on deep learning methods development, probabilistic modeling, and active learning, and application to materials discovery. ML/AI and adaptive data acquisition continue to impact scientific research domains across the renewable energy space and are becoming increasingly important for scientific discovery. Research is needed at both fronts, fundamental developments of AI and sampling, and AI’s application to specific domain problems.

We are looking for a dynamic and motivated researcher with a strong technical background and broad experience in AI, in particular deep learning and probabilistic models as well as active learning for data acquisition. The successful candidate will collaborate with NREL staff and researchers, and other national labs to develop, adapt, improve and scale AI algorithms to address problems arising in materials discovery in support of NREL and EERE mission and goals.

Job duties include:

· Collaborate with NREL researchers to design and implement scalable AI algorithms and their deployment on HPC systems.

· Deploy AI and active learning algorithms for materials discovery.

· Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to AI, active learning, materials discovery, and its applications on HPC

MCCS Directorate

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Basic Qualifications

Must be a recent PhD graduate within the last three years.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

· Demonstrated expertise with deep learning and active learning

· Demonstrated experience in working with large multi-disciplinary teams

· Excellent written and verbal communication skills

· Demonstrated experience working on high-performance computers

· Strong interest in NREL’s mission

Preferred Qualifications

· Demonstrated software engineering experience

· Experience in materials science

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