Position requirements: 30 hours per week in research/10 hours per week supporting front of house operation of ticketing and interpretation
The successful candidate will join the Steller sea lion (SSL) survival and reproduction project team. Over the past ten years, this project has gathered a wealth of previously unknown information on survival rates of juvenile sea lions and for the first time, provided strong evidence that the primary cause of mortality for juveniles is predation. Understanding behavioral differences between individuals might further illuminate specific causes of mortality, and inform the management of this endangered species.
Fellows for this project will complete an independent research project using data from the SSL survival project. The fellow will learn about various telemetry devices used to study the ecology and survival of animals at sea. She/he will be exposed to, and gain experience using, analytical and statistical techniques for working with animal movement and diving data. Under guidance, fellow will be expected to:
- Manage, update, and maintain large datasets
- Work independently, but as part of the broader research team
- Analyze data to answer scientific hypotheses about behavior and survival
- At the conclusion of the fellowship, present findings to ASLC community
- Further preparation of reports, papers and conference attendance are encouraged and will depend on the Fellow’s progress and interests.
- Commit to 40hrs a week/ minimum of 12 weeks
- Assist with other duties relating to the Center’s goals and mission statement as required
Additional opportunities for developing projects related to the topic of diving will be possible depending on Fellow’s progress, time and interests.
Minimum of B.Sc in Biological sciences (or other related field: Marine Biology, Zoology, Fisheries, Conservation Science, etc.). Position is open to graduate students and/or recent Masters’ degree graduates looking to work on a short independent project in a new or related field.
Applicants should have passed a basic statistical course, and be comfortable working with database computer programs. Experience with R or ArcGIS software is not required, but beneficial. Applicants should have an interest in pursuing a career or graduate studies in animal movement, conservation ecology, behavioral ecology or marine animal physiology.