Post doc Position at Princeton University

Candidates must have a PhD in computer science, Earth science, or a closely related field. The following attributes are desirable: (a) excellent problem-solving skills and self-motivation; (b) passion for software and science; (c) strong open-source software development experience; (d) excellent written and oral communication skills; and (e) strong data analysis skills. Ideal applicants will also have experience with some combination of: (a) artificial intelligence tools ecosystems; (b) machine learning; (c) analysis optimization; (d) data visualization; (e) data compression and validation techniques; and (f) NetCDF and Zarr data models. Experience with programming languages such as Python and Julia is expected. This role emphasizes the use of artificial intelligence and large language models for workflow automation, quality control, data validation, and knowledge delivery (e.g., flagging outliers, summarizing diagnostics, and supporting user-facing services).

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. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community. 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.