Technician in Lake Food Web Ecology
Responsibilities: Successful applicant will contribute to a food web study to track carbon pathways to Lake Champlain’s forage fish community. Duties include: (1) field sampling of water column profiles, phytoplankton, zooplankton, benthic invertebrates, and sediment from small boats; (2) field sampling of fish using bottom trawls and gill nets and Mysis using benthic sleds and plankton nets as part of a team on a larger research vessel; (3) laboratory processing of samples, such as fish dissection and preparation of samples for stable isotope and fatty acid analyses; (4) data entry and quality assurance/control; and (5) compiling data inventories and basic summaries. Work will be performed collaboratively in the Marsden and Stockwell Laboratories.
MSc degree or equivalent experience
Self-motivated, curious, detail-oriented, responsible, and works well in a team setting
Demonstrated experience with limnological or fisheries sampling
Demonstrated ability to safely operate small boats with outboard motors
Ability to work in boats for long field days and under harsh weather conditions (i.e., waves, rain, cold)
Demonstrated experience with scientific writing (e.g., technical reports, peer-reviewed publication(s))
Ability to work in R, Python, or other programming language
Period of Work: Start date of early- to mid-April 2019. Initial contract will be through November 2019, with potential for extension and advancement contingent upon satisfactory performance and availability of funds. Position is based out of the Rubenstein Ecosystem Science Laboratory at the University of Vermont.
Eligibility: MSc degree or equivalent experience
Salary: $14.50/hour for 40 hours/week
To Apply: Submit cover letter, CV, and contact information of three references in a single PDF document to Professor Jason Stockwell (email@example.com). Review of applications begins March 18, 2019.
The University of Vermont is an Equal Opportunity/Affirmative Action Employer and actively encourages applications from women, veterans and people with diverse racial, ethnic, and cultural backgrounds.