Join the Population Informatics Lab: 

Are you a highly motivated student looking for a chance to get involved with exciting research in the emerging field of population informatics? Do you learn by actually working on real problems? Would you like to gain hands on experience?

The Population Informatics Lab, under the lead of Dr. Hye-Chung Kum (cross trained in computer science, PhD in datamining, and masters in policy & management), is now accepting applications for talented MPH students for project management in the lab. For interested applicants with demonstrated aptitude, there will be opportunities to be exposed to data analysis and/or data governance projects over time.

Apply by emailing kum (at) tamu (dot) edu: See details below

TAMU MPH HPM students graduating in May or Aug 2024

This is a specific hourly graduate assistantship position (similar to an internship with the potential for a full-time job with satisfactory performance and fit) in the lab for students graduating soon and interested in a full-time project management job with the lab after graduation. 

If you are interested in joining the lab, email kum (at) tamu (dot) edu the following. We will be receiving applications until the positions are filled.

• CV

• Transcript (unofficial is ok)

• List of classes and instructors active this semester

• A short description of why you are interested in joining this lab

• When you can start, and how many hours a week you can work (the goal is to start soon so there is sufficient time for the internship). You must be able to work on site at least 10h/week.

• Preference will be given to students in the 3+2 program

Who are we

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 data scientists, computer science students to do research on health informatics problems. For more information poke around other sections of this website.