About: The Burgermaster Lab uses data and technology to help people prevent and manage diet-related chronic disease with a special focus on groups for whom new technologies are not typically designed. In this volunteer research experience, you will work alongside a team of researchers and graduate students to work on nutrition-focused computational projects. Example projects from prior computational RAs include: developing and coding an algorithm to analyze food diary data; researching and implementing machine learning methods for ultra-processed food classifications
Details:
- Application due: January 8th, 2023 at 11:59 PM (select applicants will be invited to a Zoom interview in the month of January)
- Commitment: 5-10 hours/week; 1-2 hours/week of virtual meetings during business hours. Other work time is flexible
- Eligibility: UT Austin freshman – junior
- Duration: Spring 2023, with hopes to continue additional projects for the lab! (Course credit opportunities available after Spring 2023)
Skills Required:
- Python for Data Analysis (IDE: JupyterLab)
- numpy
- pandas
- R (IDE: RStudio)
- Interdisciplinary collaboration and communication
- Aptitude for problem-solving
- Organization/time management skills
- Alignment with the mission of the Burgermaster Lab
Application Details:
If interested, please email the following information to burgermasterlab@austin.utexas.edu by January 8th, 2023 at 11:59 PM. (EMAIL SUBJECT: Computation Research Assistant Application – [your eid] )
- Name, Year, Major
- Answer to Prompt: Why are you interested in this opportunity? (<300 words)
- Attached Resume
