Published: March 11, 2015

=== THE 2015 AMALTHEA REU PROGRAM ===

AN OPPORTUNITY FOR A 10-WEEK RESEARCH EXPERIENCE FOR UNDERGRADUATE STUDENTS is available in the area of Machine Learning. The program is sponsored by the National Science Foundation and is offered by the Information Characterization & Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida.

Machine Learning (ML) gradually evolved as a branch of Artificial Intelligence with its theory and applications positioned at the juncture of Computer Science, Engineering, Mathematics, Statistics and, even, Physics. Nowadays, 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. Minorities, women and people with disabilities are especially encouraged to apply.

 

ELIGIBILITY

Without exceptions, applicants must be:

=> Majoring in an Engineering or Science discipline

=> US citizens or permanent residents

=> Undergraduates in good academic standing

 

BENEFITS

=> 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

=> Make new friends

 

Application Deadline: March 31, 2015