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<b><span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">Postdoctoral Research Associate<o:p></o:p></span></b></p>
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<span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral scientist or more senior research scientist
for research and development activities focused on data science and engineering. <o:p></o:p></span></p>
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<span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">The scientist will collaborate with Princeton and GFDL researchers to advance computational workflows for quality assurance and service delivery, with an emphasis
on the Seamless System for Prediction and Earth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize the use of AI- and LLM-enabled tools to support automation, triage, and scalable service delivery—such
as identifying outliers, summarizing pre-computed diagnostics, and supporting user-facing workflows. A successful candidate will work across different aspects of the quality assurance and data engineering pipeline, developing robust, reusable, and trustworthy
software solutions that enable sustainable online tools and services relevant to a broad range of stakeholders. The selected candidate will join a vigorous research group at Princeton University and work in close collaboration with the data science group at
GFDL, as well as with representatives of the Seasonal-to-Decadal Variability & Predictability Division and the Technical Services and Modeling Systems Division, with access to state-of-the-art numerical models and high-performance computing systems at Princeton
and NOAA.<o:p></o:p></span></p>
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<span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">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).<o:p></o:p></span></p>
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<span lang="EN" style="font-size: 12pt; font-family: "Times New Roman", serif;">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. <o:p></o:p></span></p>
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<span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">Applicants should apply online at </span><span lang="EN"><a href="https://apply.interfolio.com/181604" style="color: purple;"><span style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">https://apply.interfolio.com/181604</span></a></span><span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">. Complete
applications should include a cover letter, CV, publication and presentation list, 3 letters of recommendation, and a one-to-two page personal statement and/or a research statement. Review of applications will begin March 31, 2026<span style="color: red;"> </span>and
continue until the position is filled. For additional information, contact Aparna Radhakrishnan (</span><span lang="EN"><a href="mailto:aparna.radhakrishnan@princeton.edu" style="color: purple;"><span style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif; color: rgb(17, 85, 204);">aparna.radhakrishnan@princeton.edu</span></a></span><span lang="EN" style="font-size: 12pt; line-height: 18.4px; font-family: "Times New Roman", serif;">). <o:p></o:p></span></p>
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<span style="color: rgb(0, 0, 0); font-size: 14px;">Anna Valerio :8)</span><br>
<span style="color: rgb(0, 0, 0); font-size: 14px;"><i>Department & Graduate Administrator</i></span><br>
<font color="#ff9300" style="font-size: 14px;">Princeton</font><font color="#ff9300" style="color: rgb(0, 0, 0); font-size: 14px;"><span class="Apple-converted-space"> </span></font><font style="font-size: 14px;"><b>University</b></font><br>
<span style="color: rgb(0, 0, 0); font-size: 14px;">AOS Program</span><br>
<span style="color: rgb(0, 0, 0); font-size: 14px;">300 Forrestal Road, 209 Sayre Hall</span><br>
<span style="color: rgb(0, 0, 0); font-size: 14px;">Princeton, NJ 08540</span><br>
apval@princeton.edu; <span style="color: rgb(0, 0, 0); font-size: 14px;">609-258-6677<br>
</span><span style="font-size: 14px;">Hours: 8:00 am – 4:00 pm; WFH: Wednesdays</span><span style="color: rgb(0, 0, 0); font-size: 14px;"><br>
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