[ES_JOBS_NET] Rutgers University - Postdoctoral Associate: Statistical Tools for Modeling Paleo Sea Level

[Robert Kopp]

Rutgers University-New Brunswick
Postdoctoral Associate: Statistical Tools for Modeling Paleo Sea Level

The Rutgers University Department of Earth & Planetary Sciences invites applications for a post postdoctoral associate with interests in spatiotemporal statistics, paleo sea level change, and paleoclimate.  Starting Fall 2022 or Spring 2023, the candidate will join the Rutgers University Earth System Science & Policy Lab (earthscipol.net)<https://www.earthscipol.net/>, under the direction of Professor Robert Kopp, in close collaboration with the Research in Advanced DIstributed Cyberinfrastructure and Applications Laboratory<http://radical.rutgers.edu/> (radical.rutgers.edu), under the direction of Professor Shantenu Jha in the Department of Electrical & Computer Engineering.

The candidate should have experience with spatiotemporal statistical modeling, and ideally to its application to paleo sea level or other paleo environmental data sets. Collaborating closely with the project’s software engineering lead, they will be responsible for day-to-day scientific direction of the National Science Foundation-funded PaleoSTeHM project. This project is developing a framework for spatio-temporal hierarchical modeling of paleo data that builds upon modern, scalable software infrastructure for machine learning. Its goal is to develop a framework that keeps pace with software engineering advances and makes these powerful modeling approaches broadly available to the paleo science community.

Principal responsibilities include: (1) engaging with international networks of paleo researchers to develop requirements for PaleoSTeHM, (2) using PaleoSTeHM to develop statistical models to reconstruct past global and regional changes in sea level, (3) training other paleo researchers in the use of PaleoSTeHM, and (4) writing papers describing this research.

The candidate requires:

  *   PhD in geology, oceanography, statistics, computer science, or a related discipline at time of appointment;
  *   Familiarity with the literature on spatiotemporal and/or Bayesian statistical methods;
  *   Strong coding skills, including experience in Python;
  *   Excellent organizational and communication skills.

Familiarity with Jupyter and high performance computing is a plus.

The position will be based at Rutgers-New Brunswick, with remote work possible. The position is a grant-funded annual position, with renewal for up to three years expected subject to performance.

Rutgers, The State University of New Jersey, is an Equal Opportunity/Affirmative Action Employer. Qualified applicants will be considered for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, genetic information, protected veteran status, military status or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment.
Interested candidates should submit a cover letter, contact information for three references, a C.V., a writing sample, and a link to a GitHub repo or other coding sample at https://jobs.rutgers.edu/postings/179334. Review of applications will begin about October 15.



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