Postdoctoral Researcher - Transportation Systems Modeling/Analysis

National Renewable Energy Laboratory

Mar 27

Applications are closed

Job
Full-time
Entry Level
Research & Development
$73.2K - $120.8K
Golden

Requirements

Must be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.
Preferred Qualifications:
Preferred candidates will have some knowledge of and experience with transportation and/or energy systems, ideally (but not necessarily) electricity and EV charging/refueling infrastructure, including background and experience in the following:
Strong software engineering skills, as demonstrated by a substantial public code portfolio, or through contributing to a substantial codebase used to deliver a public-facing service.
Particularly interested in application development experience in Python, Julia, and/or R
Experience with open source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.
Demonstrated experience in data-driven analysis and modeling of transportation and energy systems, including demonstrated ability to interpret and visualize complex quantitative results and synthesize them effectively in papers or slide presentations
Experience with data analytics, big data management, scraping data off the web, high-performance/distributed computing, machine learning and/or deep learning.
Strong collaboration skills—thrives working in a collaborative team environment but is comfortable working independently when necessary.
Attention to detail and ability to effectively manage time work in a fast-paced environment
Exceptional written and spoken communication skills, including producing effective figures and visuals and leading preparation of peer-reviewed journal papers
Additional preferred qualifications:
Experience with successful client engagement and communication
Passion for innovative data visualization and animations.
Cumulative undergraduate/graduate GPA over 3.8 on a 4.0 scale.

Responsibilities

Work collaboratively in a multi-disciplinary team to explore clean energy transition pathways for transportation systems and related infrastructure by performing quantitative analysis (i.e., run and improve NREL models and tools)
Develop and process datasets to inform modeling
Work to maintain and/or to implement new features in existing software using programming languages including Julia, Phyton, and R.
Refactor existing codebases to improve usability, performance, and efficiency.
Interpret and visualize results in an intuitive manner.
Regularly document progress in technical presentations given to internal staff and help prepare briefings for clients
Contribute to publishing results in scientific journals and conference proceedings.

National Renewable Energy Laboratory

Science & Healthcare

Industry

1001-5000

Employees

1977

Founded Year

Mission & Purpose

The National Renewable Energy Laboratory (NREL), a Department of Energy national lab, is #TransformingEnergy as the nation's primary laboratory for renewable energy and energy efficiency research and development. NREL's Mission: NREL develops renewable energy and energy efficiency technologies and practices, advances related science and engineering, and transfers knowledge and innovations to address the nation's energy and environmental goals. NREL's Strategy: NREL has forged a focused strategic direction to increase its impact on the U.S. Department of Energy's (DOE) and our nation's energy goals by accelerating the research path from scientific innovations to market-viable alternative energy solutions.