2014 Amalthea REU Program at Florida Institute of Technology

Summer REU at FIT
Summer REU at FIT

The Amalthea REU program is a 10 week research experience for undergraduates sponsored by the National Science Foundation, and offered by the Information Characterization and Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida. The REU is available in the area of Machine Learning.

Machine Learning (ML) gradually evolved as a branch of Artificial Intelligence with its theory and applications positioned at the juncture computer science, engineering, mathematics, statistics, and physics. Now ML’s role in successfully addressing hard, real world technological challenges has become ever more current and central. Moreover, its presence and importance now permeates several aspects not only of cutting edge technology such as computer vision, stock market prediction and big data analytics, but also our daily life through voice-driven searches on our smart phones or movie recommendations on video streaming services to name only a few.

The program currently accepts applications in order to form a very diverse, multi-disciplinary cohort of nascent researchers for this summer.

Without exceptions, applicants must be:
-Majoring in an engineering or science discipline
-US citizens or permanent residents
-Undergraduates in good academic standing

-Exposure to the exciting world of Machine Learning and its applications
-Participate in a one-week crash course to familiarize yourself with Machine Learning
-Work with experienced student mentors and experts in the field
-Participate and contribute to cutting-edge Machine Learning research
-Take part in visits to our local industry
-Paid travel and accommodation expenses
-Receive a competitive stipend for per diem expenses
-Visit central Florida venues such as Disney attractions and NASA’s Kennedy Space Center
-Meet new people and make new friends

The application deadline is March 30. For more information visit http://www.amalthea-reu.org or contact:

Dr. Georgios C. Anagnostopoulos at georgio@fit.edu