Workforce Development for Future Smart Energy Systems

NSF CyberTraining Project: Data-Centric Security and Resilience of Cyber-Physical Energy Infrastructures (2021-2022)

NSF CyberTraining Project: Learning, Optimization and Communications for Next Generation Power Engineers (2019-2023)

Florida Atlantic University leads the workforce development for future smart energy systems and prepare future STEM scientists and engineers. This is in collaboration with the University of South Florida and the University of Wyoming.

Students and professionals are provided with mentored, hands-on training combining expertise across electrical engineering, communication, data science, and science and technology studies. Participants develop and refine the multi-disciplinary skillsets needed for the data-centric power and energy industry using unique, remotely connected smart grid cyberinfrastructure. Participants extend their academic research portfolios, strengthening their career competitiveness as future cyberinfrastructure professionals and users. The project thus serves the national interest, as stated by NSF's mission: to promote the progress of science and to secure the national defense.

Our training program includes the following key areas:

  • Artificial Intelligence and Data Analytics
  • Communication and Network Security
  • Sensor Networks and Internet-of-Things
  • Real-Time Learning and Microgrid Optimization
  • Multi-Level Decision-Making Process of Intelligent Systems
Infographic: Smart Grid

Smart Grid and Renewable Energy (Infographic description)

Infographic: Internet of Energy

Internet of Energy (Infographic description)

YOUR FLORIDA EXPERIENCE

  • This paid, 2 weeks program focuses on training, mentoring, and providing students and professionals with an exciting experience that will prepare them for research or careers in engineering and science.
  • This program welcome professionals (e.g., power engineer or software engineer working in related industry) to apply.
  • Participants will typically work 9 a.m. to 5 p.m. each day. Participants are paid $900 along with a $252 meal allowance, per week.
  • Apartment-style dormitory housing will be provided to participants on FAU’s Boca Raton campus.
  • If Covid-19 restrictions/precautions do not allow for an in-person training then we will offer a Virtual/Remote training. For this program we will offer the $900/week stipend, but not the $252/week meal allowance or housing. Due to Covid-19 concerns our 2021 program will be remote.
  • Additional project-based training opportunities are also available after the 2-week lecture series. Please see project description below.

Project-based Training:

We plan to offer 2 longer-term research projects for the Summer/Fall of 2021 to supplement our primary training program. Participants are encouraged to take the 2-week lectures, but this is not required. Certain amount of incentives are also provided if participants are selected on the additional projects. The projects are described below.

Community Microgrid Energy Management
Led by Zhen Ni, Ph.D.

In-Person or Remote project
Learn more

Machine Learning Techniques to Detect GPS Spoofing Attacks
Led by Dongliang Duan, Ph.D.

In-Person or Remote project
Learn more

HOW TO APPLY

Submit the following information in one email to Sasha Fung (sfung2017@fau.edu).

  1. One-page statement of interest that describes your motivations, expectations, and long-term objectives.
  2. One letter of recommendation from your advisor/mentor/supervisor.
  3. Two-page CV (including your demographic information if possible) and complete transcript.

DATES

Application Window Opens: Feb. 1, 2021
Application Deadline: March 29, 2021
First Round Notification Date: On or before March 31, 2021
Two-Week Training Start Date: May 31, 2021 & End Date: June 11, 2021 (subject to change)
Project-based Training Start Date: June 15, 2021 (subject to change)

ELIGIBILITY

  • Senior undergraduate, graduate, and professionals in science or engineering.
  • Minorities and women are strongly encouraged to apply.
  • Selections will be based on a combination of research interests, academic qualifications, and faculty recommendations.

CONTACT

For additional information please contact Dr. Yufei Tang at (561) 297-4781 or Dr. Zhen Ni at (561) 297-0035.

To print the NSF CyberTraining flyer, click here.

FUNDING

This program is funded by the National Science Foundation grants OAC 2017597/2017194 & 1949921/1923983.

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