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Postdoctoral Research Associate
University of Connecticut in
Date Posted 01/14/2021
Admin-Laboratory and Research
Employment Type
Application Deadline Open until filled

The Dierssen Coastal Ocean Lab for Optics and Remote Sensing (COLORS) in the Department of the Marine Sciences at the University of Connecticut invites applications for a 2-year, renewable annually based on satisfactory performance and availability of funding, Postdoctoral Research position. The candidate will evaluate hyperspectral algorithms for differentiating phytoplankton groups in Antarctic Peninsula waters and apply approaches to existing airborne PRISM imagery of the region as a proof-of-concept for future global hyperspectral missions like PACE and SBG. The candidate will work in conjunction with an international team involved with the Palmer Long Term Ecological Research Project and the Drake Passage Time-series and consider their research within the context of air-sea carbon flux, sea ice and mixed layer dynamics in a changing climate.
  • Compile and analyze pigment and optical data collected in conjunction with the Palmer Long Term Ecological Research Project.
  • Become familiar with different techniques for using hyperspectral reflectance to estimate pigment composition and associated phytoplankton groups.
  • Evaluate model performance using existing observational data.
  • Apply algorithms to existing airborne hyperspectral imagery from PRISM and other comparable or simulated imagery for the region.
  • Interact with the interdisciplinary team of researchers to explore hypotheses related to carbon dynamics and phytoplankton groups.
  • Publish research in peer-reviewed journals and present results at national and international conferences.

  • Doctoral degree in a marine science, physics, biology, geography or related discipline expected by start date in winter or spring 2021.
  • Experience in ocean optics and/or remote sensing.
  • Ability to collaborate effectively in a team environment
  • Publications related to the minimum qualifications
  • Ability to pursue research independently

  • Familiarity with phytoplankton pigments and optical properties of phytoplankton
  • Programming skills with preferred experience in inverse modeling and machine learning techniques
  • Experience conducting aquatic remote sensing of phytoplankton groups, inherent optical properties, or water quality parameters
  • Experience with manipulating large datasets and imagery
  • Excellent written and oral communication skills

The initial appointment is for one year, with the possibility of renewal for an additional year based on satisfactory performance and availability of funding. Salary and benefits are competitive.
Please apply online at , Staff Positions, Search #494889 to upload a one-page statement of research interests and your qualifications for the position, a current CV, and contact information forthree (3) professional references. Information about the laboratory can be found here: . It is preferred that applications be received by February 19, 2021.
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
This job posting is scheduled to be removed at 11:55 p.m. Eastern time on February 19, 2021.
All employees are subject to adherence to the State Code of Ethics which may be found at .
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

See Job Description

Internal Number: 494889-2276_1610234339
*Please mention to employers when applying for this job*
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