Programming Summer Internship
The selected undergrads will work with a Science lead with support from SSEC scientific instrumentation software team. Summer Internships (wisc.edu)
Applications are submitted through the student job system and MUST include the following:
- Cover letter that contains a statement of interest to work at the SSEC, an example of a programming project that exemplifies your passion and drive for programming, and up to 3 research projects from the list below (or linked above) that you want to work on and why you would be a good fit.
- Resume
Interns will work individually with SSEC researchers to define the work to be completed. The intern will be provided with self guided tutorials on the programming languages and tools that will be used for the summer projects. Access to programming experts within our scientific instrumentation software team will be available as a resource throughout the summer for questions on the tutorials and summer projects.
Project numbers and descriptions for the 7 spots:
SSEC project number: 1327
Implement and apply convolutional neural network (CNN) clustering methods, using either Tensorflow or PyTorch, on NASA atmospheric remote sensing satellite imagery such as MODIS and VIIRS.
SSEC project number: 4550
Design and implement software in Python to populate and interface to a SQL database for Low Earth Orbiting (LEO) weather satellites and other meteorological datasets.
SSEC project number: 5037
Learning and applying DevOps practices to produce cutting-edge volcanic eruption event detection and tracking suite, including Continuous Integration / Continuous Deployment using gitlab, podman/docker, and Kubernetes systems.
SSEC project number: 5223
Investigate the feasibility of using AI/ML techniques to generating the expected observed values of ABI's 3.9 micron band based on the concurrent observations from other ABI bands and the past observations with all bands, for use with the Wildfire Automated Biomass Burning Algorithm.
SSEC project number: 5223
Create a high speed imagery generation pipeline and develop a website for display and query of the data from the Wildfire Automated Biomass Burning Algorithm, programming tools and language(s) to be used is flexible.
SSEC project number: 5228
Design and implement a webpage to create interactive plots of meteorological data from JSON files using Python and Javascript tools such as Plotly, Bokeh, Holoviz, and/or Flask.
SSEC project number: 6709
Working on a suite of data delivery, visualization and analysis software packages called McIDAS, programming in either Java or Python