Marine Energy Resource Assessment Researcher – NREL
The NREL Energy Conversion and Storage Systems Center’s Water Power team has an immediate opening for a full time (40 hours per week) Researcher with several years of experience in physical oceanography and Python programming. The candidate should have advanced skills in tidal current turbulence data analysis and developing Python packages for oceanographic data analysis and visualization. In addition, the candidate should have hands-on experience with deployment and recovery of oceanographic measurement equipment such as acoustic Doppler profilers and acoustic Doppler velocimeters.
The successful candidate will work with a team of scientists, engineers, economists, and policy experts at NREL in cooperation with members of the marine energy industry. This researcher’s work will primarily be funded by the DOE Water Power Technologies Office. The candidate will work across a series of projects focused on refining our understanding of the U.S. tidal energy resource through the use of in-situ resource measurements combined with high-resolution resource model output. This work is intended to improve the understanding of the opportunities and challenges for advancing the U.S. marine energy industry. Current project focus areas include: updating and expanding Python tools for statistical analysis of high-fidelity tidal velocity and turbulence measurements, developing tools for simulating realistic turbulent flows, measuring tidal turbulence, and developing new tidal measurement and analysis techniques. Future project areas may include related work for wave, ocean current, river current, and ocean thermal gradient resources.
Master’s Degree in Mechanical Engineering or related field.
Or, Bachelor’s Degree in Mechanical Engineering, or related field, and 2 or more years of relevant experience
Additional Required Qualifications
- Several years of tidal current data analysis experience
- Strong publication track-record
- Strong oral communication skills
- Organized, GitHub track-record
- Statistical time-series and spectral analysis
- Oceanographic turbulence analysis
- Tidal modeling and data analysis
- Python, Matlab, Fortran
- Competent with Microsoft Office products
- Experience with Git
Annual Salary Range (based on full-time 40 hours per week)
Annual Salary Range: $68,000 – $112,200
Offers will typically be made in the bottom half of the listed range. 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 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
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.
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.