Postdoctoral Researcher - Human-Agent Collaboration in Scientific Discovery

The National Renewable Energy Laboratory (NREL)

$76K — $126K *
US-AnywhereRemote in Golden, CO
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Recent PhD graduate within the last three years
  • Experience in designing and evaluating agentic AI systems using standard frameworks
  • Familiarity with large language models and their deployment
  • Experience applying machine learning to scientific discovery problems
  • Strong communication skills and a proactive approach to collaboration

Responsibilities

  • Independently lead AI research projects under mentorship and collaborate with team members.
  • Conduct interactive evaluations with human scientists through real-world studies.
  • Develop, test, and implement high-quality code for the platform.
  • Communicate research progress through regular updates, both verbal and written.

Benefits

  • Medical, dental, and vision insurance
  • Short-term disability insurance
  • Pension benefits and a 403(b) Employee Savings Plan with employer match
  • Life and AD&D insurance
  • Personal time off (PTO) and sick leave
  • Paid holidays and potential performance-based monetary awards
  • Eligibility for relocation expense reimbursement
Full Job Description
Posting Title
Postdoctoral Researcher - Human-Agent Collaboration in Scientific Discovery

Location
CO - Golden

Position Type
Postdoc (Fixed Term)

Hours Per Week
40

Job Description

The Computational Sciences Center (CSC) has an opening for a postdoctoral researcher in Human-Agent Collaboration for Scientific Discovery. This emerging research area takes on a multidisciplinary approach (across Human-AI (HAI) teaming, natural language processing, and AI for Science) to explore frameworks that integrate agentic AI systems into the day-to-day work of human scientists.

We are specifically looking for a candidate interested in: (1) developing new algorithms for: orchestrating multi-turn dialogue works for HAI collaboration in long-running scientific discovery projects, optimizing asynchronous communication and coordination between humans and agents, or enhancing the explainability of agentic decision making. The candidate will also (2) lead an effort to design and conduct human evaluations measuring real-world efficacy with scientists.

The postdoc will be paired with an AI research mentor in CSC and will contribute to a platform developed by a multi-institution collaborative project led by NLR. The ideal candidate is a curious, self-driven researcher with both a strong technical background in applied mathematics and statistics pertinent to design of experiments for interactive evaluations, as well as a strong software engineering skill set.

Job Responsibilities:
  • Independently lead an AI research project, under supervision of your research mentor and in collaboration with other project members, with the goal of submitting a manuscript at a top-tier venue at the end of the first year
  • Lead an effort to conduct interactive evaluations of the proposed research with human scientists through real-world studies
  • Develop, test, and push high-quality code from project work to the platform
  • Communicate research progress verbally and in writing through regular project updates


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
  • Experience using software frameworks and standards for designing and evaluating agentic AI systems (e.g., Docker, Model Context Protocol (MCP), AgentSkills, OpenHands)
  • Familiarity with the fundamentals of large language models: architectures, training pipelines including post-training, data curation, and downstream deployment as agents
  • Experience applying machine learning to scientific discovery problems (e.g., materials discovery, bio, chemistry, physics, theorem proving, etc.)
  • Strong communication skills and a proactive, question-driven approach to collaboration


Preferred Qualifications
  • Research experience in human-computer interaction and/or human-AI teaming
  • Track record of first-author publications in top-tier venues
  • Demonstrated interest in using AI as a tool to solve scientific challenges


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: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400

NLR 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-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. NLR 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

Badging Requirement
NLR 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.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR 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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