Jobs:Job-00643
Start reviewing process: 17 March 2022
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Posting:
Position: PhD Position
Start reviewing process: 17 March 2022
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The Geospatial Snow, Water, and Ice Resources Lab (GeoSWIRL) at Montana State University is recruiting a PhD student in the Department of Earth Sciences to start Fall semester 2022. This funded Research Assistant (RA) position (stipend, tuition, fees, and health insurance) will support the newly founded Geospatial Core Facility at Montana State University (so new we do not have a website yet!) and conduct original research as an active member of the GeoSWIRL team.
The primary mission of the Geospatial Core Facility is to expand and facilitate interdisciplinary geospatial research and external funding across campus on a wide range of projects. The RA’s contributions will focus on supporting the Geospatial Core Facility while also pursuing their doctoral research as an active contributor to the GeoSWIRL team.
The successful applicant will be a curious scholar with expertise integrating a variety of data types (including geospatial) with research interests in water-related questions/challenges that can span socio-environmental systems. The applicant must have demonstrated expertise developing compelling graphics and visualizations that effectively convey their work.
Required Qualifications and Skillsets:
- Demonstrated ability to work independently and as part of a team
- Effective oral and written communication, including data visualization (maps, infographics, figures, etc.)
- Demonstrated expertise in geospatial analysis across disciplines
- Demonstrated expertise in geographically-focused programming (i.e. Python, R, Matlab) and the willingness to focus on python-based projects
- Expertise in, or a willingness to learn applying GitHub as a core component of research
- Experience in, or willingness to learn UAV (Uncrewed Aerial Vehicle) data acquisition and analysis
- Experience in, or willingness to co-lead geospatial workshops
- Degree in Geography, GIS, or related discipline
Desired Qualifications and Skillsets:
- Master’s degree in Geography, GIS or related discipline
- Academic training in water resources
- Professional experience apart from academic training
- Experience in, or willingness to learn data-driven approaches, including machine learning (ML) models, to solve problems.
- Experience with large datasets (parallel processing, cluster computing, etc.)
- Experience in web-based applications of geospatial data
Interested applicants should send a single PDF to eric.sproles@montana.edu with the subject line "PhD Application". This pdf should include 1) a one-page cover letter outlining your research interests and expertise related to the job description, 2) resumé or CV, 3) an example of your work that you are proud of and willing to share (ex. visualization, manuscript/paper, links to code repositories/websites), 4) copy of unofficial transcripts, & 5) contact information for 2-3 references.
Applications will be reviewed immediately.
