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

Part of NSF Initiative on Workforce Development for Cyberinfrastructure (CyberTraining)

CyberTraining 2020

CyberTraining 2020 Introduction

Important Dates


Online Training Structure

Who Should Participate



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CyberTraining at UMBC is an NSF-funded initiative to create a training program in big data applied to atmospheric sciences as application area and using high-performance computing as indispensable tool. The training consists of instruction in all three areas of "Big Data + HPC + Atmospheric Sciences", followed by faculty-guided project research in a multidisciplinary team of participants from each discipline. Participants can be graduate students, post-docs, and early-career faculty/researchers from US institutes who will be exposed to multidisciplinary research and have the opportunity for significant career impact. Both instruction and research are mentored by faculty and supported by teaching assistants from each discipline. Each participant will receive $1,500 stipend.

We successfully trained 16 participants in 5 teams in 2018 and 17 participants in 5 teams in 2019. Each team delivered a technical report and most reports have been extended for peer-reviewed conference or journal papers, and faculty and participants are presenting there. Detailed information of training we had in 2018 and 2019 can be found at 2018 tab and 2019 tab.

Important Dates:

Deadline: 01/01/2020
Notification: 01/15/2020
Start date of the training: 01/24/2020
End date: 05/15/2020

Online Training Structure

The training will adopt a flipped classroom approach for the instruction in modules 1-10. Participants watch the lecture videos individually first, then work on homework as a team. Help is available at all stages from instructors and TAs through a discussion board. During modules 11-15, each team will present their research progress online and get feedback. Participants, instructors, and TAs communicate online every week on Fridays 3:30-5:00 ET. Each participant is expected to spend 9-12 hours per week on the training.

Who Should Apply

  • Students/researchers interested in interdisciplinary research and how Big Data and HPC techniques can be applied to Computational Physics and other Computational Sciences.
  • Graduate students and post-doctoral researchers / junior faculty who want to participate in project-based multidisciplinary research to further their career.

Apply for Online Training in Spring 2020