Researcher - Computational Scientist for High Efficiency Multi-fidelity Modeling

Posting Title

Researcher - Computational Scientist for High Efficiency Multi-fidelity Modeling

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Location

CO - Golden

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Position Type

Regular

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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.

We invite all interested candidates to apply for this opportunity. While we recognize that job seekers may hesitate if they don’t meet every requirement, we encourage dedicated individuals who meet all the basic and additional required qualifications of the role to submit an application. We value the opportunity to consider those who believe they have the necessary skills and ambition to succeed at NREL.

Job Description

The High Performance Algorithms and Complex Fluids Group in the NREL Computational Science Center has an opening for a full-time research position in multi-scale, multi-fidelity modeling and uncertainty management in the context of modern extreme-scale high-performance computers as well as emergent low-energy architectures.

The successful candidate will collaborate with other NREL researchers, other national laboratories, universities, and industrial partners in efforts to develop computational solutions at scale for a variety of problems in renewable energy research. The candidate will work with minimal direction within multidisciplinary teams to develop efficient, scalable algorithms for high-fidelity model evaluation and distributed reduced-order surrogate training strategies that support outer-loop tasks such as optimization, characterization and analysis for a diverse range of renewable energy applications. Additionally, the candidate will explore the feasibility and applicability of emergent analogue architectures such as neuromorphic technologies, as low-energy alternatives to HPC systems for targeted NREL applications. Results and progress will be disseminated via peer-reviewed scientific publications, workshops, professional conferences and seminars.

Job duties and responsibilities of the position include:

• Performing high-resolution simulations (e.g., computational fluid dynamics, micro-scale vehicle traffic, molecular dynamics) and constructing, training and validating computationally lightweight and/or reduced dimensional surrogate models
• Writing/programming, debugging, and troubleshooting code for extreme scale computing hardware platforms.
• Conducting and publishing novel original scientific research
• Communicating effectively with a wide range of stakeholders
• Collaborating and writing proposals for original scientific research and developing original research concepts and strategies.
• Expert programming in C++ (and, optionally, Fortran90), and applying a working knowledge of MPI, OpenMP and GPU accelerator programming using CUDA and HIP compilers.
• Exploring emerging computing architectures and methods to leverage new computational methods to advance fundamental and applied research
• Team-based software engineering for development, testing, documentation, release and support.

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Basic Qualifications

Relevant PhD . Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience . Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good technical writing, interpersonal and communication skills.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

Preferred Qualifications

• Research-focused doctoral degree or equivalent research experience.
• Experience with high-performance computing, clustered computing, cloud computing, and/or related technologies
• Ability to quickly learn new programming languages and frameworks and adapt to changing research demands in a fast-paced scientific environment.
• Demonstrated experience programming in multiple languages such as Python, C/C++ on Unix/Linux systems.
• Demonstrated experience working with scientific data and interfaces for science applications, including data processing and analysis tools.
• Demonstrated experience developing complex computing workflows, management of large, distributed datasets
• Strong experience programming in a Unix/Linux environment.
• Demonstrated experience in software source control, continuous integration, and software life cycle development methodologies.
• Team-based software engineering expertise in development, testing documentation, release and support.
• Experience implementing highly scalable simulation software
• Experience working with heterogeneous high-performance computing.
• Demonstrated leadership in one or more areas of team, task or project management and/or lead responsibilities.

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)

Job Profile: Researcher III / Annual Salary Range: $79,600 - $143,300

NREL takes into consideration a candidate’s education, training, and experience, 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*- and long-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; paid holidays; and tuition reimbursement*. 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. Limited-term positions are not eligible for long-term disability or tuition reimbursement.

* Based on eligibility rules

Badging Requirement

NREL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.

Drug Free Workplace

NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

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.

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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, domestic partner 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

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