Position Details
Position Information
| Recruitment/Posting Title |
Postdoctoral Associate |
| Department |
SAS - Earth & Planetary Sciences |
| Salary |
Commensurate With Experience |
| Posting Summary |
The Rutgers University Department of Earth & Planetary Sciences invites applications for a 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), under the direction of Professor Robert Kopp, in close collaboration with the
Research in Advanced DIstributed Cyberinfrastructure and Applications Laboratory (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 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. |
| Position Status |
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| Posting Number |
22FA1029 |
| Posting Open Date |
09/08/2022 |
| Posting Close Date |
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Qualifications
| Minimum Education and Experience |
Applicant must hold a PhD in geology, oceanography, statistics, computer science, or a related discipline at time of appointment. |
| Certifications/Licenses |
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| Required Knowledge, Skills, and Abilities |
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. |
| Equipment Utilized |
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| Physical Demands and Work Environment |
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| Overview |
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| Statement |
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. |
Posting Details
| Special Instructions to Applicants |
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| Quick Link to Posting |
https://jobs.rutgers.edu/postings/179334 |
| Campus |
Rutgers University-New Brunswick |
| Home Location Campus |
Busch (RU-New Brunswick) |
| City |
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| State |
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| Location Details |
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Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), 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. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
remote work
Nov 16, 2024