Opportunities

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MS opportunity with Karin Limburg at SUNY-ESF

Karin Limburg at SUNY-ESF and Bill Pine have cooperated on native fish research in Grand Canyon as part of the Glen Canyon Dam Adaptive Management Program. Dr. Limburg will be (pending contract finalization) looking for an MS student to study non-native brown trout (Salmo trutta) in the Colorado River in Grand Canyon and I am helping with advertising. The study will focus on the chemical analysis of trout otoliths and eye lenses, for retrospective analysis of provenance and life history. Most of the work will be in the lab, but there will be an opportunity for fieldwork to help collect fish. Due to the nature of the work, we seek a student who can exercise great care in sample preparation, chemical analysis, data workup, statistical testing, and writing.

SUNY ESF is part of the State University of New York system and is located in Syracuse, NY. Although small, it has a strong research focus. The stipend for the student will be competitive and will include health benefits as well as tuition coverage.

Please direct inquiries to Karin Limburg klimburg@esf.edu.

Examples of earlier work are here:

Of Travertine and Time: Otolith Chemistry and Microstructure Detect Provenance and

Demography of Endangered Humpback Chub in Grand Canyon, USA

Using otolith chemistry tags and growth patterns to distinguish movements and provenance of native fish in the Grand Canyon

Part-time Data Carpenter, R worker, data visualization person

Position: Part-time experienced R user and data carpenter needed

Start date: Immediately

Hours: Flexible, 5 hours per week minimum commitment

Pay rate: Competitive hourly wage depending on experience

We have an opening for a part-time employee to provide technical assistance with work flow, data management, data visualization, and other analytical and programming skills as part of a large multi-year oyster reef restoration project.

http://www.wec.ufl.edu/oysterproject/

As this project is in the beginning phases we are looking for grad students, post-docs, staff members, or others in the UF R-gators community to join our team and fill knowledge gaps by providing technical assistance in several areas including:

(1) Assistance integrating a variety of datasets provided by agency cooperators into a common framework for analyses. Datasets are primarily observations of various water quality parameters from autonomous sensor networks or boat based data collections.

(2) Working with these data to generate basic graphical and tabular summaries and developing analytical and visualization tools to synthesize these data spatially and share results with research cooperators.

(3) Providing technical assistance related to developing a workflow and data management system for the project in cooperation with other UF programs (i.e, UF-LARC, other cooperating research labs).

(4) Help to train students (undergrad and grad), staff, and faculty on these approaches.

Ideal candidate will be someone with experience in these (and other) areas as demonstrated through example projects in published manuscripts, GitHub repositories, web applications, etc. An interest in ecology, biology, geography is also preferred. Commitment to collaborative learning and best data management and coding practices is essential. Opportunities exist to join in the co-authorship of manuscripts. Position is potentially renewable for multiple semesters. Hours are flexible with a minimum commitment of 5 hours per week. Ideally the person in this position would be available to regularly meet with other team members on campus regularly but work location and hours are flexible. This is potentially a good position for an experienced graduate student seeking additional funding support and an interest in “coaching” others who are working to improve their knowledge and skills.

If interested please assemble a brief packet including (1) a letter describing your background and experience in these and related topics, (2) short CV, (3) links to example products that you have produced (such as GitHub repository, example code, graphs, published papers), (4) required hourly wage, (5) description of availability during fall 2020. Send this packet as a pdf to Bill Pine at oysterproject@ifas.ufl.edu Please view lab web page for more background on what we do.