HomeFloridaPostdoctoral Associate - Remo...
University of Florida

Gainesville, FL

Postdoctoral Associate - Remote

Employment TypeContractor
Date Posted2022-08-11
Direct Apply
Valid Through2023-10-01

Job Description:

Postdoctoral Associate

Job No: 524597
Work Type:
Location: Main Campus (Gainesville, FL)
Categories: RealCat
Department: 60460000 - AG-SCHL FOR, FISH, & GEOMATICS

Job Description

Classification Title:

Postdoc Aso

Job Description:

The Institute of Food and Agricultural Sciences is committed to creating an environment of inclusive excellence that affirms diversity across a variety of dimensions, including ability, class, ethnicity/race, gender identity and expression. Inclusive excellence is the active process of including and respecting everyone as we strive for excellence and equitable outcomes in all we do at the University of Florida. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. We strongly encourage historically underrepresented groups to apply.

If an accommodation due to a disability is needed to apply for this position, please call ***** or the Florida Relay System at ***** (TDD) or visit Accessibility at UF .

We are seeking a collaborative researcher to join our team. We are seeking someone who wants to combine a passion for forests, forest health, and remote sensing. Experience in AI/Machine Learning approaches to signal recovery from image spectroscopy, particularly hyperspectral remotely sensed data and lidar (ALS, UAV-lidar, and GEDI) are strongly desired qualifications.

The project is an NSF-funded position (up to 4 years of funding, starting at $51,000 with a cost-of-living increase annually) to improve how well we can detect tree health and mortality across spatial and temporal scales. We have a wealth of ground truth data, high resolution lidar and hyperspectral imagery, intermediate level lidar and hyperspectral, and ultimately satellite-based products to tease out the signals of forest/tree health. The position will be based at the University of Florida and supervised by Dr. Daniel Johnson, with close collaborations with Drs. Eben Broadbent, Carlos Silva, Krista Andersen-Teixeira, and Jim Lutz. The position will begin as soon as possible.

The School of Forest, Fisheries, and Geomatics Sciences is an interdisciplinary unit housed in UF/IFAS (https://ffgs.ifas.ufl.edu/) and has teaching, research, and extension education programs in three broad areas: Forest Resources and Conservation; Geomatics (surveying, mapping, remote sensing, GIS, and GPS); and Fisheries and Aquatic Sciences. The SFFGS has 63 faculty members, 60 administrative and programmatic staff, 250 graduate students, and 350 undergraduate students. The School offers bachelor's degrees in Forest Resources and Conservation, Natural Resource Conservation, Geomatics, and Marine Sciences; thesis and non-thesis master's degrees in all focal areas, including a number of innovative distance education master's programs; and Ph.D. degrees in all focal areas.

Expected Salary:


Minimum Requirements:

A doctorate (foreign equivalent acceptable) in Forestry, Ecology, Remote Sensing, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline is required. Applicants should possess the technical skills required to perform the duties and responsibilities described above. Applicants should be able to demonstrate excellent leadership, communication, and quantitative skills. Experience in multidisciplinary research efforts is a bonus. Candidates should have demonstrated skills in verbal and written communication and be able to work independently and flexibility. Candidates must be supportive of the mission of the Land-Grant/Sea-Grant systems. Candidates must also have a commitment to UF/IFAS core values of excellence, diversity, global involvement, and accountability.

Preferred Qualifications:

Special Instructions to Applicants:

Application must be submitted by 11:55 p.m. (ET) of the posting end date.
  • Individuals wishing to apply should go online to Careers at UF and submit:
  • Cover letter that states applicant's interest in the position and qualifications relative to the credentials listed above
  • Curriculum vitae
  • Contact information for three professional references
  • Work sample (e.g., published article, examples of web-based program or application)
  • Unofficial transcript

Selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES).

Hiring is contingent upon eligibility to work in the US. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.

The University of Florida is an Equal Opportunity Institution dedicated to building a broadly diverse and inclusive faculty and staff. The University and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities.

Health Assessment Required:

Advertised Salary:

Minimum Requirements

Preferred Qualifications

Special Instructions to Applicants

Health Assessment Required: $Health

Applications Close: $Closes

To apply, visit https://explore.jobs.ufl.edu/en-us/job/524597/postdoctoral-associate

The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.

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Job ID: 8151446817193231636

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