The Winfree Lab at Rutgers University (winfreelab.com) invites applications for three field technician positions to collect data on wild bees and the plants they pollinate in Great Lakes region National Parks. The goals of the larger project are to determine the most important plant species supporting spring forest bee communities, and to explore scientific questions about bee biodiversity and plant-bee interactions at large spatial scales. Data collection involves standardized sampling of wild bee communities using insect nets, identifying plant species in the field, and taking pollen samples from bee specimens.
These are each 12 week positions that start 8 April 2019 and end 8 July 2019, with exact start and end dates being somewhat flexible. Pay is $520-$640 per week, depending on qualifications. Exceptionally qualified candidates may be considered for a crew leadership position.
Field research experience; experience with plant identification; willingness to work long hours outside in difficult conditions (sun, cold, mud, mosquitos, ticks) with a small group of people; willingness to tent camp where housing is not available; ability to carry up to 50 lbs; maturity, attention to detail, and ability to work independently; good communication skills; drivers’ license. Please mention in your application if you have a personal vehicle.
Extensive field research experience; prior experience with field studies of wild bees or other insects; familiarity with the flora of deciduous hardwood forests characteristic of northern Michigan.
To Apply: As a single PDF, send a cover letter explaining why you are interested in this position, your resume, and names and contact information for three references to: Lucia Weinman (luciaraew at gmail.com). Please use “Great Lakes Pollination Tech” as the subject line of the email. Review of applications will begin immediately and will continue until the positions are filled.
Rutgers University is an Equal Opportunity/Affirmative Action Employer and the Winfree Lab encourages applications from underrepresented groups.