Looking for a Research Assistant position? Do you have a strong background in statistics? If so, read on to learn more about this position with the Department of Urban Design and Planning. This is the ideal position for a doctoral student interested in interdisciplinary
- Position Title: Graduate Student Research Assistant (50% FTE)
- Supervising Faculty: Marina Alberti
- Hours per Week: 20 (50% FTE)
- Employment Period: ASAP until 6/15/2016
- Minimum Education Required: Degree in Statistics, Biostatistics,
Epidemiology or other relevant area. Enrolled in a PhD Program.
- To Apply: Please send your curriculum vitae, and 3 letters of recommendation to Marina Alberti, Urban Design and Planning, University of Washington Box 355740, Seattle, Washington 98195-5740.
- Questions? Email Marina Alberti at firstname.lastname@example.org
- Deadline: Submit your application materials by Sept. 30th, 2015, by 5:00 pm PST
- About the Department: The University of Washington Urban Ecology Research Lab (UERL, http://urbaneco.washington.edu/wp/) has an outstanding opportunity for a research assistant in Urban Science. The Urban Ecology Research Lab works to understand and improve the conditions of human-dominated ecosystems by conducting interdisciplinary research in urban ecology, integrating analytical methods, and applying participatory approaches to problem solving.
- About the position: The RA will work on a team project aimed to detect signatures of socio-ecological functions and innovations in urbanizing regions. Using high resolution socio-ecological data (i.e. census, land use parcels, NDVI etc.) and social network records (e.g., cell phone/tweets), our team applies selected metrics to identify observable patterns and extrapolate general properties of a city’s socio-ecological structure and dynamics.
- Duties and Responsibilities: The Research Assistant will provide high-level statistical analysis and will collaborate closely to help perform the
statistical needs of the research studies under the supervision of UERL
Director Marina Alberti. The RA will be responsible for providing intermediate- to high level statistical analysis, including the following:
- Dataset preparation such as cleaning and coding.
- Create datasets and perform appropriate analytic procedures using a variety of statistical software and R.
- Combine multiple disparate raw databases and derive analysis variables accurately
- Combine spatial data sets and perform GIS Analysis.
- Generate descriptive and test statistics and modeling results.
- Document statistical analysis, code, analyses, summaries and
- Ensure the consistent, timely delivery of data analysis-related project deliverables.
- Identify potential data problems from analytic queries.
- Participate in project team meetings as needed.
- Perform other related duties as needed.
- Experience, Knowledge, and Skills Required: At least 2 years’ experience providing statistical analyses on a research project; ArcGIS, R, and some experience with programming; flexibility, organization skills and self-motivation; excellent written and oral communication skills; excellent interpersonal skills and experience working with interdisciplinary teams; ability to complete project-specific responsibilities with minimal supervision.