Expectation of 6-10 hours per week through the end of Spring semester, and 9-10 weeks of full time work during the summer. This position has the potential to be renewed for the Fall semester.
The College of Business and Economics is seeking an intern to assist with implementation of a grant from the USDAís Agriculture and Food Research Initiative (AFRI). Overall grant work will focus on current and potential livestock systems of the Inland Northwest, including production, processing and distribution of livestock and other agricultural products. The intern will support research efforts by researching and analyzing new data and discovering trends in local, regional and national livestock food production practices. The intern will work with the research team during the Spring 2012 semester to continuously update a comprehensive two-year schedule, using MS Project, for the entire program. The internís major duties in Summer 2012 will include: research into livestock supply chains, literature reviews on economics and local livestock food system efforts in rural areas, maintaining and updating the project schedule in MS Project, assisting with surveys, interviews, and technical analyses, scheduling and implementing public meetings, and other tasks as needed. All work will result in written and oral deliverables for the grant administrators to incorporate into the larger AFRI project.
Position open until filled, but application review will begin on March 21, 2012.
Responsibility % of Time Essential/Marginal
Perform research on livestock systems of the Inland Northwest by: 40% E
Conduct literature reviews of the economics of commercial and local livestock
food systems; Gather and analyze data to quantify scale of local and regional
livestock systems; research emerging food system supply chain strategies;
assist with the development and implementation of interviews and surveys of
livestock producers, processors and distributors. Some travel may be required
to implement surveys and interviews.
Perform qualitative and quantitative analysis of data by: 35% E
Analyzing results of database searches and surveys, transcribing interviews;
compiling data on local and regional agriculture systems to assess trends;
using data to make projections on future and emerging livestock food system
trends; assisting in analysis of economic data and incorporate of economic
and other data into a model of potential livestock supply chains.
Maintain and update project schedule by: 15% E
Maintain a schedule in MS Project which incorporates all 6 of the projectís
research threads. Work with each of the project leads to incorporate major
tasks into the schedule. Keep this schedule up to date and provide regular
reports of overall project progress.
Contribute to team effort by: 10% M
Researching other issues relevant to sustainable supply chains; performing
related tasks and duties as assigned.
Must possess: Availability of 6-10 hours per week through the end of Spring semester, and up to 10 weeks of full time work during the summer.
Required: Business major in the UI College of Business and Economics (CBE), junior standing or higher and returning to the CBE in the Fall 2012 semester; grant requirements specify the successful candidate be a student.
Some knowledge of: MS Excel data analysis tools such as What-If Analysis, Solver, and Sensitivity Analysis; MS Word.
Some knowledge of: Project management
Experience with: MS Project 2007 or 2010
Must possess: excellent written and oral communication skills; ability to maintain professional conduct; ability to work with multiple levels of an organization; ability to work with external stakeholders, including customers; demonstrated ability to analyze data; availability for occasional evening and weekend meetings; availability to travel occasionally on the weekends
Employment may be contingent upon satisfactory completion of criminal background and/or driving investigation.
Operations Management, Economics, or Marketing major with significant interest in supply chain management
Some knowledge of: livestock production or processing systems
Experience with: SPSS, SAS, Systat, R, or other statistical analysis package.
Experience conducting in-depth research into an industry topic, conducting interviews in person and/or over the phone, developing and implementing surveys
Experience performing data collection and quantitative analysis
Experience scheduling and implementing public meetings.