Part-Time Quantitative Ecologist - Grab Lab

Penn State University • Ferguson Township, PA

23d • Remote

About The Position

The Grab Lab in the Department of Entomology is looking for a quantitative ecologist to conduct studies on the ecology of insects in agricultural systems. The successful candidate will develop existing neural occupancy models for publication in a peer-reviewed journal using simulated data for eventual application to forecast movement of migratory lepidoptera as part of an early warning tool. Additional opportunities will include working with students and postdocs in the lab to support the development of computer vision models for pest identification and to support the BeeSpatial web application. This position will be located at Penn State in University Park, Pennsylvania with potential for remote work.

Requirements

• Applicants are required to have a Ph.D. or equivalent doctorate in Ecology, Entomology, Data Science or a related field and be able to provide evidence that all requirements have been met for completion of the Ph.D. prior to the effective date of hire.
• Programming experience in R, Python, or related languages.
• Familiarity with web app development and deployment using Shiny.
• Proficiency in GIS, spatial analysis, and management of geographic data.
• Expertise in the application of machine leaning approaches to occupancy modeling

Nice To Haves

• Familiarity with plant and insect ecology.
• Demonstrated ability to work effectively both independently and with diverse teams of researchers.
• Demonstrated ability to successfully and efficiently complete research projects and write peer-reviewed manuscripts.

Responsibilities

• Develop existing neural occupancy models for publication in a peer-reviewed journal using simulated data
• Application to forecast movement of migratory lepidoptera as part of an early warning tool
• Working with students and postdocs in the lab to support the development of computer vision models for pest identification
• Support the BeeSpatial web application

What This Job Offers

• Job Type: Part-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees