Assistant Professor, Tenure-Track

Overview

Rutgers, The State University of New Jersey, is a leading national research university and the state of New Jersey’s preeminent, comprehensive public institution of higher education. Established in 1766 and having celebrated a milestone 250th anniversary in 2016, the university is the eighth oldest higher education institution in the United States. More than 70,800 students and 27,000 faculty and staff learn, work, and serve the public at Rutgers locations across New Jersey and around the world.

Rutgers University–New Brunswick took root over 250 years ago. We are the state’s most comprehensive intellectual resource—the flagship campus of Rutgers, The State University of New Jersey, as designated by the Association of American Universities. We are the region’s most high-profile public research institution and a leading national research center with a global impact.

Posting Summary

The Department of Electrical and Computer Engineering in the School of Engineering at Rutgers, The State University of New Jersey seeks to fill one opening in Spring 2023 for a full-time, academic year, tenure-track faculty appointment. It is anticipated that this opening will be at the Assistant Professor level, but exceptional midcareer candidates will also be given consideration at the Associate Professor level.

Successful candidate will be expected to teach courses in electrical and computer engineering at both the undergraduate and graduate levels; develop a research program and obtain external funding to support it; work in a highly collaborative and interdisciplinary environment and engage in existing and future large collaborative research endeavors; and write and communicate effectively in the English language.

Diversity and inclusion are a key foundational element of the University’s Strategic Plan and the School of Engineering is fully committed to building a faculty of individuals from diverse backgrounds. Diversity may include, but is not limited to, race, ethnicity, gender and gender identity, age, religion, language, disability status, sexual orientation, socioeconomic status, and geographic region. Because broad attention to diversity is essential to an inclusive climate and critical to the University’s goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual’s record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. Applicants who can contribute to this diversity through their teaching, research, or service are particularly encouraged to apply.

Hiring areas for this search are: (i) high performance computing (HPC), including but not limited to system software, system integration of machine learning and HPC, large scale optimization, scalable systems and applications, numerical libraries, middleware, performance engineering, modeling and simulation, HPC applications such as computational medicine, and the intersection of HPC and data-intensive computing; (ii) computer vision, including recognition, machine learning, multi-view 3D reconstruction, computational photography, and medical image analysis; and (iii) system security, including but not limited to the security of cyber-physical systems, software/IoT, machine learning/AI systems, and computer architecture.

ECE at Rutgers is ranked third in the United States in terms of number of undergraduate degrees granted according to recent ASEE data. ECE is home to world class research programs in wireless networking, information theory, signal processing, machine learning, high performance computing, computer vision, socially cognizant robotics, cyberphysical systems and nano/bio electronics. Faculty honors include membership in the National Academies, 13 IEEE Fellows, 1AAAS Fellow, 1 NAI Fellow, 1 PFF Award, 15 NSF Career Awards, 3 DARPA Faculty Fellows, 1 ONR YIP, 1 ARO YIP.

Excellent facilities are available for collaborative research opportunities with local industry through the School’s nationally recognized centers such as the Wireless Information Network Laboratory (WINLAB), the Micro-nanofabrication and Characterization Facility, and the Center for Advanced Infrastructure and Transportation (CAIT). There also exist collaboration opportunities at Brookhaven National Laboratory and with clinicians at Rutgers Biomedical and Health Sciences (RBHS).

Special Instructions to Applicants

Applications should submit a detailed resume including the name and contact information of at least three references and a list of publications. Also, the application should include: 1) statement of research, 2) a statement of teaching philosophy interests and 3) a statement about Diversity, Equity and Inclusion (DEI).

The DEI statement should include past experiences and activities, in addition to future plans to advance Diversity, Equity, and Inclusion. Questions to keep in mind for structuring the DEI statement are listed below.

• What does diversity mean to you, and why is this important?
• Do you understand the university’s diversity goals?
• What have been some of your experiences either being part of a non-majority group, or interacting with diverse populations?
• How has your thinking about diversity actively influenced your teaching, research, and/or scholarship?
• In thinking about the different roles you have played, and will play, as part of your university service, what role has/will diversity issues play?
• What role do you believe that advising and mentoring play in working with diverse populations? Does your engagement with diversity help students prepare for careers in a global society?

Minimum Education and Experience

A Ph.D. in Electrical and Computer Engineering, Computer Science or a related field is required by appointment date (January 1, 2023).

To ensure full consideration for Spring 2023 openings, applications should be received by September 30, 2022, although applications will continue to be accepted after this date.

Questions may be directed to: Yingying Chen, Professor and Chair, Department of Electrical and Computer Engineering, Rutgers University, yingying.chen@rutgers.edu.