University of Wisconsin - Madison
This is an EXPIRED job listing. Do not apply for this position!
Degree and area of specialization:
BS in Computer Science, Environmental Science, Geography or related discipline required; MS preferred. Strong programming and quantitative/statistical skills.
Minimum number of years and type of relevant work experience:
Minimum of two years working in database design and management, minimum of one year with database programming. The selected candidate must have strong writing and statistical skills, and exceptional organizational/communication skills to work with a diverse and energetic research team. Must be able to work independently and as part of a team. Experience with database development and programming (e.g. MySQL, PostgreSQL), metadata documentation, and linkage to web-based applications via HTML. Experience in relational database management systems are necessary and working with large, complex databases. Must be comfortable on PC and Linux platforms.
Preferred skills: programming and scripting experience (e.g. Python, R, etc.); web design and linking to relational databases; experience with imagery and/or geospatial data.
Principal duties:
Set up and populate a searchable, web-accessible database for integration with a wide range of ecological and environmental data used by multiple projects. Automate repetitive database activities (e.g., querying, data selection), and ensure access to database by research team using external programs such as R, ArcGIS, or Matlab. The candidate will participate in meetings to assess the needs of the research team and work with the team to establish the database design and user interface.
The candidate is supervised by a faculty member in the Department of Forest & Wildlife Ecology, with whom the individual will work to provide overall coordination and direction of research activities and analytical support.
35% Development of a relational database management system and web-enabled user interface to archive and integrate data being developed by the Townsend and collaborator laboratories.
30% Populate the database and develop necessary metadata from the Townsend lab and collaborator research teams.
25% Perform custom data queries and analyses of data to the contribution of research papers and proposals by members of the Townsend and collaborator research labs.
10% Other duties as directed.