[AISWorld] Call for Participants: Paid NSF funded Multidisciplinary Online Training Program with Stipend Support in Spring 2019 on Big Data + HPC + Atmospheric Sciences

[Jianwu Wang]

Call for Participants: Paid NSF funded Multidisciplinary Online Training Program with Stipend Support in Spring 2019 on Big Data + HPC + Atmospheric Sciences
 
   Funded as an NSF grant to train graduate students, post-docs, and junior faculty on Big Data + High-Performance Computing + Atmospheric Sciences, our training program is a new NSF-funded initiative in big data applied to atmospheric sciences and using high-performance computing as a vital tool. The training consists of instruction in the areas of data, computing, and atmospheric sciences supported by teaching assistants, followed by faculty-guided project research in a multidisciplinary team of participants from each area. Participants around the nation will be exposed to multidisciplinary research experiences and have the opportunity for significant career growth.

   Extending on top of successful face-to-face training we had in 2018 and online-training in 2019, we will offer another/final round of online course in Spring 2020 (Weekly from 01/24/2020 to 05/17/2020). We welcome graduate students, post-docs, and junior faculty from US institutes to apply. Each person who finishes the program will receive $1,500 stipend. Application deadline is 01/01/2020. The flyer of the program is at http://cybertraining.umbc.edu/docs/UMBC_CyberTraining_Spring_2020.pdf <http://cybertraining.umbc.edu/docs/UMBC_CyberTraining_Spring_2020.pdf> and more information can be found at http://cybertraining.umbc.edu/ <http://cybertraining.umbc.edu/>. Please contact us at cybertraining at umbc.edu <mailto:cybertraining at umbc.edu> for questions and inquiries.

Application deadline: 01/01/2020
Training mechanism: Online
Payment to each participant after training completion: $1,500
Website: http://cybertraining.umbc.edu/ <http://cybertraining.umbc.edu/>
 
   You are welcome to disseminate the opportunity to your colleagues and students. Thanks!
-- 
Best wishes

Sincerely yours

Jianwu Wang, Ph.D.
jianwu at umbc.edu <mailto:jianwu at umbc.edu>
http://userpages.umbc.edu/~jianwu/ <http://userpages.umbc.edu/~jianwu/>
Twitter: https://twitter.com/jianwuwang <https://twitter.com/jianwuwang>

Assistant Professor of Data Science
Department of Information Systems
CyberTraining: Big Data + HPC + Atmospheric Sciences (cybertraining.umbc.edu <http://cybertraining.umbc.edu/>)
University of Maryland, Baltimore County
410-455-3883
ITE 423