I am writing to let you know we are organizing an NSF-funded REU (Research Experience for Undergraduates) Site program at UMBC this summer. This REU Site program is for Online Interdisciplinary Big Data Analytics in Science and Engineering. It is a purely online program open to students from the entire nation. The 8-week program will include training in fundamentals of HPC software (MPI) and productivity tools (SLURM) on large distributed-memory clusters with CPUs and GPUs as well as Big Data Analytics applications like Tensorflow, Keras and Horovod. Each student will be paid for $5,000 for participation and provided with opportunities to present their work at conferences. We are looking for students from all STEM disciplines and particularly also for students who are interested in gaining Big Data, HPC and application experience.
More information of the program can be found at https://bigdatareu.umbc.edu/ and our flyer. The tentative application deadline is 03/01/2022. The two project topics planned for summer 2022 are 1) Big Data and Machine Learning Techniques for Atmospheric Remote Sensing and 2) Big Data and Machine Learning Techniques for Medical Image Classification. Please distribute this opportunity to undergraduate students and additional colleagues/communities you see fit. The more people know the opportunity, the merrier. Thanks a lot!
More information of the program can be found at https://bigdatareu.umbc.edu/ and our flyer. The tentative application deadline is 03/01/2022. The two project topics planned for summer 2022 are 1) Big Data and Machine Learning Techniques for Atmospheric Remote Sensing and 2) Big Data and Machine Learning Techniques for Medical Image Classification. Please distribute this opportunity to undergraduate students and additional colleagues/communities you see fit. The more people know the opportunity, the merrier. Thanks a lot!
Do not hesitate to contact us with questions.
Matthias Gobbert (gobbert@umbc.edu) and Jianwu Wang (jianwu@umbc.edu)
Matthias Gobbert (gobbert@umbc.edu) and Jianwu Wang (jianwu@umbc.edu)