Water resources research group at the Department of Civil and Environmental Engineering is seeking to hire an undergraduate student in the field of Big Data Analytics. This program is supported by the National Science Foundation (NSF). It is anticipated that one (1) student will be selected to work on research project related to Hurricane Florence data in South Carolina (SC).
We are going to be performing machine learning analysis of flooding in SC. This is a Civil Engineering- Computer Science and Engineering research effort. The proposed intern would be expected to conduct technical research on issues related to floods. He/she will work on data preprocessing and analysis, as well as algorithmic development while would be trained on a variety of programing tools.
Student will work under the direct supervision of faculty members in the Department of Civil & Environmental Engineering and Computer Science and Engineering. The team of research mentors includes: Drs. Vidya Samadi and Jose Vidal.
Eligibility Requirements: All full-time undergraduate students majoring in Civil Engineering and Computer Science and Engineering at the University of South Carolina are eligible to apply. Students who have previous experience working with python, Java, and R, are strongly encouraged to apply.
Deadlines: The application deadline is November 23, 2018 at 5:00 pm. Notification of finalists will be announced no later than November 30. Finalists will be contacted for interviews during December 3th through December 7th. It is anticipated that the selection of NSF Fellowship recipient will be announced in
December second week and started his/her job immediately.
Stipend: Recipient will receive a $13 per hour for the 48-week period starting December 10, 2018 and ending Oct. 18, 2019. Student must be available for the entire duration of the program and are expected to work a standard 10-hour week for each one of the 48 weeks.
Application: Students interested in applying for this program must submit a single PDF to Dr. Samadi (firstname.lastname@example.org) no later than November 23, 2018. The application file must include the following materials:
Statement of interest that includes:
- academic status (e.g. senior) and expected graduation date
- list of courses planned for spring semester 2019
- brief description of prior research experiences and relevant work experiences (if any)
- motivation for participating in this NSF research program
- expected personal gains/impacts from this research experience
- career plans after graduation
- an unofficial copy of current transcript
We will review any submitted materials and schedule interviews accordingly. Any questions or concerns should be directed to Dr. Samadi (email@example.com).