We are looking for highly motivated graduate students and undergraduate students in computer science to work in the area of Data Science with Health Data.
If you are interested in a MS thesis or doctoral dissertation with the group, email Dr. Kum the following
This position has been filled for Spring 2015. Please check again another semester.
Are you a highly motivated independent student looking for a chance to get involved with exciting research in the emerging field of data science? Do you learn by actually working on real problems? Would you like to become an expert SAS programmer (prior knowledge not required, but desire to learn required. Similar to R.)? Would you like to get a job in the health informatics field? There is an opening for a chance to work on exciting research in data intensive health problems.
The Population Informatics Lab applies informatics, data science, and computational methods to the increasingly large digital traces available to advance public health, social science, and population research. This research group is a joint effort between UNC-CH and Texas A&M. Dr. Kum, the lead, is a data scientist with training in both computer science and Health and has worked with many computer science students to do research on health informatics problems. For more information poke around other sections of this website.
Learn SAS (training is part of the job), a very marketable programming skill and one of the main technologies used in the data science field, and design and build data pipelines for processing raw health data to information.
We will be receiving applications until the position is filled.
Start date is no later than January 22nd with possibility to start immediately.
Eligible for instate tuition rate benefits. Possibility for a thesis topic.
If you are interested in our research, please email the following materials to Dr. Hye-Chung Kum directly: kum (at) tamhsc (dot) edu
Are you a highly motivated independent undergraduate student looking for a chance to get involved with exciting research in the emerging field of data science? Do you learn by actually working on real problems? If you have taken Data Structures (CSCE 221), there is an opening for advanced sophomores and juniors for a chance to work on exciting research in data intensive health problems. If you are interested, see below for details on how to apply.
If you are interested in our research, please email the following materials to Dr. Hye-Chung Kum directly: firstname.lastname@example.org