Visible to the public CPS Rising Stars Workshop 2022Conflict Detection Enabled

CPS Rising Stars Workshop 2022 aims to identify and mentor outstanding PhD students and postdocs who are interested in pursuing academic careers in Cyber-Physical Systems (CPS) related areas. CPS are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. CPS technologies are transforming the way people interact with engineered systems, just as the Internet has transformed the way people interact with information. This workshop also aims to increase representation and diversity in CPS. The program committee will review applications and select CPS Rising Stars based on the research excellence and academic leadership potential. The selected applicants will receive travel support to attend the workshop, which will cover reasonable travel expenses, hotel accommodation, and meals. The workshop program will feature panels and presentations on the academic job search process and how to succeed as a junior faculty member, as well as research talks from workshop participants. This workshop will give participants a chance to gain insights about navigating the early stages of careers in academia and network with their peers, opening the door for ongoing collaboration and professional support for years to come.

ELIGIBILITY: This workshop is open to graduate students and postdocs in CPS core research areas as defined by the National Science Foundation CPS program. These areas include control, data analytics, machine learning including real-time learning for control, autonomy, design, Internet of Things (IoT), mixed initiatives including human-in- or human-on-the-loop, networking, privacy, real-time systems, safety, security, and verification. In addition, this workshop especially encourages women, underrepresented minorities, and persons with disabilities to apply.

Applicants should be within about 1-3 years of graduating with a PhD at the time of the workshop, or have obtained a PhD no earlier than 2019 and do not currently hold a faculty position.


  1. Research statement (maximum 1 page excluding references, 12pt font, 1-inch margins, PDF)
  2. CV (no page limit, PDF)
  3. One letter of recommendation

SUBMISSION: Research statement and CV should be submitted to

The letter of recommendation should be sent by the letter writer to by the application deadline.


  • Application Deadline: March 10, 2022
  • Decision Notification: April 15, 2022
  • Workshop Date: May 26, 2022


  • John A. Stankovic (University of Virginia)


  • Brad Campbell (University of Virginia)
  • Lu Feng (University of Virginia)


  • Hadas Kress-Gazit (Cornell University)
  • Insup Lee (University of Pennsylvania)
  • Klara Nahrstedt (UIUC)
  • Miroslav Pajic (Duke University)
  • Sanjit Seshia (UC Berkeley)
  • Janos Sztipanovits (Vanderbilt University)
  • Ufuk Topcu (UT Austin)


  • National Science Foundation
  • University of Virginia, Link Lab
Event Details
Charlottesville, VA
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