"Postdoctoral Research Associate"

Position: Postdoctoral Research Associate

The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune, and deploy LLM based tools for environmental engineering research, education, and industry use, particularly in energy saving, emission accounting, and resource recovery.

We are seeking a highly motivated and organized researcher with the following qualifications:

Responsibilities

• Explore, collect, and preprocess various sources to develop domain LLM training and test datasets
• Design and implement fine tuning and RAG workflows for LLMs on a variety of datasets
• Maintain codebases and data pipelines; ensure reproducibility and version control
• Work with team members to integrate LLM modules into user friendly decision support platforms
• Facilitate user testing and gather feedback from research groups and industry partners
• Draft and submit manuscripts, technical reports, and open source documentation for peer reviewed publications

Qualifications

• Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field
• Proficiency in Python or other tools and ML frameworks
• Track record of open source contributions or tool development in AI/ML
• Prefer to have hands on experience fine tuning LLMs and building RAG systems
• Background with environmental engineering domains (energy auditing, GHG accounting, resource recovery)
• Strong publication record and excellent written/verbal communication skills
• Experience in coding for high performance computing (e.g., university cluster or similar systems) is desired

The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background check policy.

To Apply

Applicants must apply online at https://www.princeton.edu/acad-positions/position/39382 and submit a CV, a one-page statement of research interests, and contact information for three references.

Expected Salary Range

PDRA: $65k - $71k :: ARS: $67k - $86k