We invite applications for THREE paid undergraduate interns to work on the FEN project investigating the effects of forest fragmentation on species interactions in a plant-caterpillar-bird network in deciduous forests in Connecticut. The successful candidates will be trained in a variety of ecological field techniques, plant and insect identification and community ecology.
Application Due Date: April 1, 2019, or until the positions are filled.
Position Details: The students will participate in field surveys and experiments involving caterpillars and plants in forests of Eastern Connecticut, data entry, management and analysis and project planning. They will attend lab and project meetings. Applicants should be prepared to work long days in the field, including through hot and wet weather.
Minimum Qualifications: GPA of 3.0 or greater; Completion of BIOL 1107 or 1108 by start of position.
Preferred Qualifications: Evidence of active interest in biology and the natural environment through formal coursework, previous work experience or extra-curricular activities. Availability of own vehicle to access field sites (mileage will be reimbursed at standard rates set by the state of Connecticut).
Appointment Terms: This is a 6-week appointment (May 23rd – July 3rd, 2019, 40 hours per week) with a salary of $10.55 – 12.50 per hour, depending on experience. Exact dates are somewhat negotiable.
How to Apply: Interested students should email Dr. Robert Bagchi (firstname.lastname@example.org) with a subject line of “Internship position” and with answers to the following questions:
- What topics in Ecology do you find most interesting?
- What skills and experiences of yours do you think will help you with this job?
- What do you want to do after you graduate and how might this job help with that?
Please also attach an up-to-date list of previous qualifications and job experiences (a CV or resume is fine) and a list of completed courses and grades (e.g. an unofficial transcript).
We welcome applications from students with diverse backgrounds or without prior research experience.