Field Ecology Technician – Tick Inventory & Data

University of Maine at Augusta

Northern (KY)

Hybrid

USD 23,000 - 26,000

Full time

14 days+
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Benefits offered by this job

Mileage reimbursement
Lodging provided

Job summary

The University of Maine at Fort Kent is seeking a detail-oriented Scientific Research Specialist to conduct field inventory and sampling for winter ticks across designated study sites in Northern Maine. This temporary 5-week, full-time position involves active field data collection during the peak autumn tick host-seeking period (September through November).

The successful candidate will travel to remote field locations, execute sampling protocols, and record ecological data.

Qualifications

  • Background in Forestry, Wildlife Biology, Ecology, Environmental Science, or related field.
  • Experience working outdoors in dense cover and navigating via GPS/maps.
  • Must possess a valid Driver’s License and reliable transportation.
  • Ability to travel and stay overnight near study sites as needed.
  • Ability to work independently in the field while maintaining communication with the project lead.

Responsibilities

  • Execute standardized field sampling protocols for winter tick inventory.
  • Travel to designated field study sites on a daily or weekly schedule.
  • Keep precise field notes and manage digital data entry accurately.
  • Adhere to field safety protocols and work in outdoor conditions.
  • Other duties as assigned.

Skills

Outdoor fieldwork
GPS navigation
Detail-oriented
Independent in field work
Valid driver’s license

Education

Forest Technician diploma
B.Sc. student/graduate in relevant field

Job description

The University of Maine at Fort Kent is seeking a detail-oriented Scientific Research Specialist to conduct field inventory and sampling for winter ticks across designated study sites in Northern Maine. This temporary 5-week, full-time position involves active field data collection during the peak autumn tick host-seeking period (September through November).

The successful candidate will travel to remote field locations, execute sampling protocols, and record ecological data.

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