Updated: about 6 hours ago
Location: Durham, PENNSYLVANIA
Deadline: ;
Position Details
Summary
| Operating Title | Post Doctoral Research Associate |
|---|---|
| Long Classification Title | |
| Campus Location | Durham |
| Department | UNH Ocean Process Analysis Lab |
| Summary of Position | As coastal sea-levels rise, flooding will increasingly impact coastal communities. The NSF funded EPSCOR project, the Community-Driven Coastal Climate Research & Solutions for the Resilience of New England Coastal Populations, seeks to help communities manage the increasing environmental risks caused by a changing climate. As part of this project, the Ocean Process Analysis Laboratory and the Institute for Earth, Ocean and Space at the University of New Hampshire is seeking a postdoctoral fellow to research the linkages between shelf-scale sea-level, surface wave and wind fields and coastal flooding on a human scale. The goal is to downscale the prediction of shelf-scale and climate-scale coastal models to the human scale of harbors and neighborhoods and to assist in the development of machine learning models to link large scale forcing to human scale environmental stressors. The term of this project is 2.5 years (1 year term with possibility of renewal). The focus of this project will be the high-resolution modeling that links shelf scale forcing to human scale sea-level predictions, the validation of that modeling, and the use of machine-learning tools to predict sea-level and other environmental stressors from larger scale models. Experience in physical oceanography and numerical modeling are required. Experience with unstructured mesh numerical models and machine learning would be helpful. Expected duties include submission of results for publication in refereed journals, documenting modeling code and products, and collaborating with other researchers in this project at Brown University, the University of Rhode Island, the Gulf of Maine Research Institute and elsewhere to further the goals of this project. |
| Additional Job Information | |
| Posting Number | PF0807FY24 |
| Acceptable Minimum Qualifications | The candidate should have qualifications and interests in the following:
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| Additional Preferred Qualifications | The postdoctoral researcher will be expected to be part of a multidisciplinary, multi-institution team working on predicting and adapting to present and future coastal environmental challenges. The postdoctoral fellow will lead a numerical modeling experiment to link the large-scale global and coastal ocean to harbor and infrastructure scale sea-level events. The candidate is expected to publish their work and to coordinate with others in communicating and sharing the results to a broad range of affected communities and organizations.
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| Salary Information | Salary is complemented by a comprehensive benefits package which includes medical, dental, retirement, tuition, and paid time off. |
| Quick Link to Posting | https://jobs.usnh.edu/postings/57803 |
| Percent Time Information (FTE) | 1.0 |
| Faculty Information | Renewable (Please specify below) |
| If Renewable or Number of years, please specify | 1.5 years |
| Type of Position | Post Doctorate |
Posting Details
| Posting Date | 09/19/2023 |
|---|---|
| Open Until Filled | Yes |
| Closing Date | |
| Interested Internal Candidates Exist? | No |
| Appointment Type | Grant Funded |
| If TERM position with benefits, indicate projected end date | |
| Departmental Information | |
| This position is responsible for the supervision of | Does not supervise |
| Special Requirements | A background check will be required as a condition of employment. |
| EEO Statement | The University System of New Hampshire is an Equal Opportunity/Equal Access/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status. |
| Special Instructions to Applicants | INTERFOLIO USERS: If using Interfolio to submit letters of reference, please follow the special instructions at this link: https://pa-hrsuite-production.s3.amazonaws.com/2729/docs/126635.pdf . Instructions for reference providers can be access at: https://support.interfolio.com/m/29600/l/266335-submit-a-letter-of-recommendation-to-interfolio. |
| Institution Information | The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry. The UNH Diversity Resource Guide with information and programming available in the seacoast area, New Hampshire, and the region can be found here: https://www.unh.edu/hr/diversity-resource-guide |