Careers in the Plant SciencesPostdoctoral Fellow, Biodiversity DataMissouri Botanical Garden - Saint Louis, MO, USA
Position Title:
Postdoctoral Fellow, Biodiversity Data
Position Type:
Post-Doctoral Position
Application Review Begins:
Thursday, January 02, 2025
Application Deadline:
Monday, March 17, 2025
Institution:
Missouri Botanical Garden
Department/Division:
Herbarium
Field (e.g., systematics):
Botany
City:
Saint Louis, MO, USA
General Information:
The Missouri Botanical Garden (MBG) seeks to hire a full-time Postdoctoral Fellow to work in the lab of Dr. Matthew Austin on a project investigating how hyperspectral scans of Herbarium specimens can be used for taxonomic identification and trait prediction. The candidate will (1) collect hyperspectral data from taxonomically diverse Herbarium specimens, (2) use machine learning to analyze the resolution of taxonomic identification and accuracy of trait prediction that can be achieved with hyperspectral data, (3) prepare and submit manuscripts for publication, and (4) assist MBG scientists with other research-related activities, including mentoring of students and technicians, participating in outreach events and workshops, and presenting research lectures. This person will also have the opportunity to explore other novel applications of hyperspectral data in the biodiversity sciences.
Qualifications/Requirements:
Candidates should have completed a Ph.D. in Ecology and Evolutionary Biology, Botany, Data/Computer Science, or a related field before the start date. The ideal candidate will have prior experience in several of the following: herbarium research, bioinformatics, spectroscopy, plant phenotyping, machine learning, and statistical analysis of biodiversity data.
Responsibilities:
Takes a leadership role in implementing a research project involving collecting hyperspectral data from herbarium specimens and analyzing the resolution of taxonomic identification and accuracy of trait prediction that can be achieved with hyperspectral data.
Application Instructions (submission methods, etc.):
Submit an application through the provided link.
Compensation Range:
Contact Name:
Matt Austin, maustin@mobot.org
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