Sign up for this fully-funded postdoctoral fellowship for up to three years in the area of quantitative conservation ecology and machine learning.
Set to take place at Hawaii, Mānoa, the selected postdoctoral fellow will join the Elizabeth Madin lab for a funded position while leading joint research on the selected areas.
Read on to know if you or someone you know fits the description for this position.
Application Deadline: November 15, 2020.
The successful candidate/postdoctoral fellow will:
To be eligible for application, the following qualifications are required:
The following qualifications are largely desired:
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To apply, forward the following details via email to Dr. Madin: firstname.lastname@example.org in a single PDF document, with the file name “MadinLabPostdocApplication_YourLastName” your last name in the file name and the email subject heading “Madin Lab postdoc application”:
The Elizabeth Madin Lab Post-Doctoral Research Fellowship in Quantitative Conservation Ecology and Machine Learning is a post-Doctoral Research fellowship administered by the Elizabeth Madin Laboratory at the University of Hawai‘i at Mānoa’s Hawaii, Institute of Marine Biology.
The specific focus of the Research is human impacts on coral reefs. Human impacts on coral reefs continue to accumulate from a variety of sources, including climate change, fishing and other types of resource extraction, pollution, habitat alteration, and others.
Meanwhile, recent advances in remote imaging (e.g., high-resolution satellite and drone imagery), tracking (e.g., automated vessel tracking), and other technologies allow quantification of changes to human activities and coral reef ecosystems in near-real time over local to global scales.
In a family-friendly, flexible work environment where work-life balance is encouraged, the research led by the postdoctoral fellow and the Elizabeth Madin team will study the creation of the machine learning algorithms for automated detection and measurement of reef halos from high-resolution satellite imagery.
Also, the integration of results arising from these methods with existing datasets.
The Madin lab provides a supportive and stimulating research environment with a group of highly collegial scientists who are committed to scientific outreach and policy, to open science, and to enhancing diversity in STEM.
The position will be funded by a recent NSF CAREER award focused on decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health.
The due date for applications is November 15, 2020.
The postdoctoral fellowship is for one year, but is renewable for up to three years based on performance and funding availability.
The start date is flexible, but would ideally be no later than July 2021.
The primary criteria for selection of candidates are:
Opt-out at any time. No strings attached.