Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences

This website is about 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. Participating graduate students, post-docs, and junior faculty from around the nation will be exposed to multidisciplinary research experiences and have the opportunity for significant career growth.

Apply for Face-to-face training at UMBC Spring 2018

We welcome graduate students, post-docs, and junior faculty from nearby universities to attend the first-year face-to-face training to be held at UMBC in Spring 2018. There is no a fee to apply to the training program. Each participant who successfully finishes the program and completes all requirements will receive $1,500 (some restrictions may apply). We expect to have 15 participants in total (5 from each discipline). Because the capacty limit, there will be a selection process.

The application package should include applicant’s CV, personal statement, transcript, and at least two letters of recommendation. The personal statement needs to address specifically why the participant is interested in interdisciplinary research, the background in software tools and languages, how participation will promote his/her career goals, and how he/she can contribute to a team of participants from each discipline. Please e-mail questions as well as the application with the requested documents as PDF attachments to before Dec. 25th, 2017 Extended to Jan. 1st, 2018. See more at Flier on Spring 2018 Face-to-Face Training Application.

Project PIs.

  1. Dr. Jianwu Wang, Department of Information Systems.
  2. Dr. Matthias K. Gobbert, Department of Mathematics and Statistics.
  3. Dr. Zhibo Zhang, Department of Physics.
  4. Dr. Aryya Gangopadhyay, Department of Information Systems.

Additional links.

  1. Flier on Spring 2018 Face-to-Face Training Application.
  2. Paper: Jianwu Wang, Matthias Gobbert, Zhibo Zhang, Aryya Gangopadhyay and Glenn Page, Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences, in Proceedings of EduHPC-17: Workshop on Education for High-Performance Computing at SuperComputing Conference 2017
  3. Grant information at NSF, responding the NSF CyberTraining program.
  4. News at UMBC.
  5. Announcement from U.S. Senator Chris Van Hollen and Ben Cardin.

The website is being constructed. Please visit back for more information.