The Internship Project: Uncertainty Quantification for Disparate Data Sets
AgResearch is seeking a paid intern for an exciting 10 week (400 hour) full time internship project.
Based at our Lincoln Campus, this project will look at grass grub which is a major economic pest in dairy farm systems. The ability to identify the presence of grass grub early will help farmers undertake management methodologies to mitigate their impact on soil health and pasture production. Multiple disparate datasets provide layers of big data including GIS, sensor and typology information that can be used to predict the presence of grassgrub with various levels of confidence. This project will include exploratory data analysis of experimental and GIS data, linear and general linear modelling and exploration of other machine learning techniques.
What you will be doing
Collate data from multiple sources and import into R
Carry out exploratory data analysis and provide preliminary visualizations.
Fit and compare various appropriate models
You will participate in the research described above alongside a number of other team members, including other students. At the completion of your internship, you will have the opportunity to present your learnings/outcomes/experience with the project in a give a 5-minute presentation.
You need to be returning to University in 2020 and be available on the completion of your exams in November 2019 until February 2020 (excluding the Christmas close down period).
How to apply
This is one of the best ways to gain exposure to the Science community; developing skills and creating connections that will set you up for a bright career.
Make the most of your summer and apply todaywith a covering letter detailing why you feel you would be suitable for this position.
Applications close on 6th September 2019.