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Post Doctoral Associate
Job Description
Full job description
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The Aircraft Center for Earth Studies (ACES) at the University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science is soliciting applications for a 2-year Post-Doctoral Associate position. ACES is seeking a machine learning expert to work on several exciting research projects from airborne and satellite remote sensing datasets, including novel NASA MiDAR and fluid lensing datasets. Applicant will have a strong background in convolutional neural networks (CNNs), data labeling and training, and is able to operate well on a team tackling large global projects for conservation with ambitious goals. Additional opportunities include organizing and participating in field campaigns around the world for collecting relevant earth science datasets.
The Aircraft Center for Earth Studies (ACES) is a new endowed state-of-the-art aerospace center overseeing a Helicopter Observation Platform, electric research vessels, and a drone fleet serving Florida and the United States. ACES focuses on advanced remote sensing and aeronautical research platform technology development with an ambitious strategic plan. ACES is supported by an endowment, several ongoing multi-million-dollar NASA, National Geographic, and other grants. With this hire, we are looking for a postdoctoral fellow focusing on game-changing technical advances to better understand and conserve Earth. ACES is led by Dr. Ved Chirayath, the Vetlesen Professor of Earth Sciences, Mechanical, & Aerospace Engineering, National Geographic Explorer, and former NASA LAS director.
Candidates must have a PhD in a related field. Four years professional experience in machine learning is preferred. FAA Part 107 and/or Part 61 piloting certifications are encouraged. Candidates from underrepresented backgrounds are encouraged to apply.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full timeEmployee Type:
StaffPay Grade:
A9*Please mention you saw this ad on PhdJobs.*
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