Introduction
CyberTraining at UMBC is an NSF-funded initiative to cross-training program for graduate students and early career researchers in data science and atmospheric science to foster interdisciplinary “AI + HPC + Atmospheric Science” research and education using advanced cyberinfrastructure (CI) resources and techniques. The training consists of instruction in all three areas of artificial intelligence (AI), High Performance Computing (HPC) and 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. In the end of the training, participants will learn how to conduct “Reproducible, Uncertainty-Aware and Scalable AI for Atmospheric Science”.
Each participant will receive a $500 stipend after completing the training.
The training will be 15 weeks in total. We estimate the workload is similar to a 3-credit graduate level course. We will follow UMBC Spring calendar for the training.
Important Dates
Application deadline: Monday, 01/04/2027
Notification: Monday, 01/18/2027
Start date of the training: Monday, 01/25/2027
End date: Friday, 05/14/2027
Online Training Structure
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 2027
We welcome graduate students, post-docs, and junior faculty from US universities/institutes to attend the online training in Spring 2027. There is not a fee to apply to the training program. Each participant who successfully finishes the program and completes all requirements will receive $500. We expect to have 16 participants in total (4 teams). Due to the capacity limit, there will be a selection process.
The application package should include 1) applicant’s CV, 2) personal statement, 3) transcripts, and 4) 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.
Application form will be available soon. Stay tuned!