Congratulations to our 2017 winners: Kostas Tsiakas and Srujana Gattupalli!
iPerform wishes you continued success in your academics and research!
iPerform Center Research Scholarship in Machine Learning
Related to Enhancing Human Performance
The iPerform NSF Industry-University Cooperative Research (IUCRC) Center (iperform.uta.edu) of UTA announces a $1000 research scholarship in Machine Learning, as it applies to Enhancing Human Performance, awarded to a CSE Ph.D. student who fulfills the following qualifications:
- You passed the Comprehensive Examination and has a 4.0 GPA in field of concentration
- You are in the fourth year of Ph.D. studies, needing 1-2 semesters to complete your Ph.D.
- You have a strong publication record in Machine Learning
- You are interested in working closely with scientists of the iPerform center (www.iperform.uta.edu) in order to develop innovative robot-based methods for vocational training.
Interested applicants must submit the following materials:
- A current CV
- Three (3) representative published papers in the field of Machine Learning
- A letter of interest by the student to work with iPerform Scientists in Machine Learning, related to Enhancing Human Performance (200 words maximum)
- Two (2) letters of support by UTA CSE faculty
To submit your materials, please use the following instructions and links:
- To submit your CV, 3 representive published papers, and letter of interest, please combine your materials in a zip folder and upload it using this link: STUDENT SCHOLARSHIP MATERIALS
- To submit your 2 letters of support by UTA CSE faculty, please have your professors submit their letters by using this link: LETTERS OF SUPPORT
Due Date: Monday, May 15, 5 PM (Central)
This scholarship is closed for the 2016-2017 year.
For any questions, please contact Dr. Fillia Makedon at
makedon@uta.edu.