Are you in the early or mid stages of a career in academia, industry or at a government lab? Are you interested in interacting with leading researchers in your field that can mentor you and give you advice?
If so, sign up for CMW updates to be notified when applications open!
This year’s CRA-WP Career Mentoring Workshop will be held in November 2023.
More updates to come January 2023!
The CRA-WP Career Mentoring Workshop program aims to enhance the career development of junior faculty with advice, collaborations, mentoring, and peer networks for successfully attaining tenure. Additionally, our goal is to increase the percentage of Computer Science and Engineering researchers from populations underrepresented in computer science and education who reach the top of their respective career tracks: faculty members, by being promoted to full professor, and researchers in industrial or governmental labs, by being promoted to the top of their institution’s technical ladder or by entering research management.
There are three types of CMW tracks: education (E), research (R), and government/industry labs (L) for Early and Mid-Career.
Attendees are computing faculty and researchers from across academia, industry, and government.
Ph.D. Students & Postdocs | This day is designed for Postdocs and Ph.D. students who will complete their Ph.D. before June 2021. The day will explore a number of career options, opportunities, and considerations for careers in primarily education-oriented institutions, research-intensive institutions, government-funded research laboratories or industrial research.
Early Career | This day will be focused on Early-Career professionals and provide insight into how to build a great research program, advise students and get funding, how to be an effective and inspiring teacher, and how to set yourself up for promotion and success.
Mid-Career | Mid-Career professionals will learn skills on how to prepare to a more senior position, be an effective leader, build collaborations and start new research initiatives, and balance work and life.
This is an NSF funded program. This material is based upon work supported by the National Science Foundation under Grant Number (1840724). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.