University of Florida
Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species E
University of Florida, Gainesville, Florida, us, 32635
Employer Industry: Higher Education and Research
Why consider this job opportunity:
Competitive salary commensurate with qualifications and experience
Comprehensive benefits package included
Opportunity to lead innovative research on invasive species using cutting‑edge technology
Collaborative work environment with interdisciplinary teams and renowned experts
Chance to mentor graduate and undergraduate students in a dynamic lab setting
Located in Gainesville, Florida, offering a vibrant community with year‑round outdoor activities
What to Expect (Job Responsibilities):
Design and lead remote sensing data acquisition campaigns using various platforms, including UAVs and satellite imagery
Develop and apply advanced machine learning and deep learning models for analyzing multi‑sensor data
Create analytical workflows to distinguish invasive species from co‑occurring grass species
Integrate remote sensing‑derived products with ecological data to model invasion dynamics
Collaborate with project partners and lead the preparation of high‑impact publications
What is Required (Qualifications):
A Ph.D. (by the start date) in Remote Sensing, Geography, Biology, Geospatial Science, Environmental Science, Ecology, or a closely related field
Demonstrated expertise in processing and analyzing remote sensing data, with experience in hyperspectral and/or Lidar preferred
Strong proficiency in programming, particularly in Python and GEE for geospatial analysis
Experience with machine learning/deep learning frameworks, such as PyTorch or TensorFlow
A track record of first‑author publications in peer‑reviewed journals
How to Stand Out (Preferred Qualifications):
Experience in plant ecology, invasion science, or agronomy
Specific expertise in reflectance spectroscopy and chemometrics for vegetation analysis
Strong background in GeoAI, computer vision, and data fusion techniques
Experience designing UAV‑based remote sensing campaigns
Proven ability to work effectively in a collaborative, interdisciplinary research team
#HigherEducation #ResearchOpportunity #RemoteSensing #MachineLearning #InvasiveSpecies
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Why consider this job opportunity:
Competitive salary commensurate with qualifications and experience
Comprehensive benefits package included
Opportunity to lead innovative research on invasive species using cutting‑edge technology
Collaborative work environment with interdisciplinary teams and renowned experts
Chance to mentor graduate and undergraduate students in a dynamic lab setting
Located in Gainesville, Florida, offering a vibrant community with year‑round outdoor activities
What to Expect (Job Responsibilities):
Design and lead remote sensing data acquisition campaigns using various platforms, including UAVs and satellite imagery
Develop and apply advanced machine learning and deep learning models for analyzing multi‑sensor data
Create analytical workflows to distinguish invasive species from co‑occurring grass species
Integrate remote sensing‑derived products with ecological data to model invasion dynamics
Collaborate with project partners and lead the preparation of high‑impact publications
What is Required (Qualifications):
A Ph.D. (by the start date) in Remote Sensing, Geography, Biology, Geospatial Science, Environmental Science, Ecology, or a closely related field
Demonstrated expertise in processing and analyzing remote sensing data, with experience in hyperspectral and/or Lidar preferred
Strong proficiency in programming, particularly in Python and GEE for geospatial analysis
Experience with machine learning/deep learning frameworks, such as PyTorch or TensorFlow
A track record of first‑author publications in peer‑reviewed journals
How to Stand Out (Preferred Qualifications):
Experience in plant ecology, invasion science, or agronomy
Specific expertise in reflectance spectroscopy and chemometrics for vegetation analysis
Strong background in GeoAI, computer vision, and data fusion techniques
Experience designing UAV‑based remote sensing campaigns
Proven ability to work effectively in a collaborative, interdisciplinary research team
#HigherEducation #ResearchOpportunity #RemoteSensing #MachineLearning #InvasiveSpecies
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr