Each year, there are a certain number of graduate assistantships (GAs) offered on a competitive basis. They cover between one-fourth and full tuition for the year. Some of these positions are offered within the department by way of either research with a faculty member or by serving in a support role within the department (e.g., tutoring). Other such positions are offered in different departments on campus and can be used in addition to a departmental GA position or independent of one.
Benjamin Plumridge: July 2017 Workshop at SAMSI
SAMSI’s 2017 IMSM workshop was one of the most challenging experiences of my life. The goal of the workshop is to expose graduate students to real-world industrial problems and to bring new eyes to these problems. The problems do not necessarily have solutions and the workshop is only ten days. Technical reports and final presentations are required for completing the workshop. So it is fast-paced and demanding, giving students a feel for how things go in industry.
I really value the experience and strongly recommend other students to apply in the future. If you are a masters student who is on the fence between a Ph.D. or going into industry, this workshop would be very useful. Students will make Industrial connections that can aid in future employment. Many (if not all) of the industrial liaisons had Ph.D.s in fields like applied math. Also, we were paired up with academic mentors (professors with Ph.D.s in math or applied math). My point being, students attending the workshop will be surrounded by experienced, knowledgable people, who have been in your shoes. The workshop is a huge opportunity for all math/stat graduate students.
Xiaojuan "Cathy" Yu: Summer 2017 Internship at Stroud
I will work as an assistant for Dr. Melinda D. Daniels (Associate Research Scientist), and my work will mainly involve a solute transport model for streams and rivers – One-Dimensional Transport with Inflow and Storage (OTIS) and statistical analysis using SAS of the data that Stroud collected, such as stream flow. OTIS is a mathematical simulation model used to characterize the fate and transport of water-borne solutes in streams and rivers. OTIS is used in conjunction with data from field-scale tracer experiments to quantify the hydrologic parameters affecting solute transport. The purpose of analyzing the data and determining the hydrologic parameters using the OTIS model is to provide scientific information on habitats and aid decision making for management of local species’ habitats.