Tenure-Track Faculty Positions
The Computer Science Department at New Jersey Institute of Technology (NJIT) invites applications for multiple
tenure-track faculty positions starting in Fall 2019. Areas of special interest are:
- Computer Graphics, Geometric Modeling and Robotics. Priority will be given to candidates whose research has the potential to leverage NJIT’s brand-new, advanced Makerspace facility for 3D Printing, Computational Manufacturing, and Digital Fabrication (https://www.njitmakerspace.com/)
- Foundations of Data Science and Machine Learning; Artificial Intelligence
- Programming Languages; Software Engineering
- Distributed Systems
Exceptional candidates in other areas will also be considered. While we are especially interested in hiring at the rank of
Assistant Professor, exceptional candidates at higher ranks will be considered.
Applicants must have a Ph.D. degree by Summer 2019 in a relevant discipline, and outstanding academic credentials that
demonstrate their ability to conduct independent world-class research and attract external funding. The successful
candidate is also expected to show a commitment to both undergraduate and graduate education.
NJIT’s Computer Science Department has 40 faculty and approximately 1600 students at all levels across nine programs
of study. The Computer Science Department participates alongside NJIT’s Informatics Department in generating the
largest pool of computing talent in the tri-state (CT, NJ, NY) area. The department conducts research in a wide range of
areas and plays a key role in the NJIT Center for Big Data and the NJIT Cybersecurity Research Center. The department
has strong connections with local industry and works closely with many corporations through student Capstone projects,
internships, co-ops and joint R&D projects.
The Computer Science Department is housed in a state-of-the art facility renovated in Fall 2018. The department resides
within the Ying Wu College of Computing, which is undergoing significant growth as a priority area for NJIT. This growth
is an integral part of NJIT’s five-year strategic plan, called Vision 2020, which calls for consolidating NJIT as a world-class
institution of higher education and research. Applied research, collaboration with industry, innovation and
entrepreneurship are encouraged and supported. Performance and tenure expectations are aligned with those of the
broader computing community, with an emphasis on grant funding and publishing in top conferences and journals.
The Ying Wu College of Computing comprises 24% of the NJIT enrollment, educating more than 2,800 students in
computing disciplines, and graduating close to 800 computing professionals every year.
NJIT is located in Newark’s University Heights, a vibrant sprawling downtown campus close to Rutgers-Newark, New
Jersey Innovation Institute, Essex Community College, New Jersey Medical School, University Hospital, and Rutgers School
of Dental Medicine. NJIT is just a 30-minute train ride from New York City and its burgeoning Silicon Alley tech sector. In
the near future, NJIT plans to open a facility in Jersey City, just across the Hudson River from the financial district of
Lower Manhattan in New York City.
Applications received by December 31, 2018 will receive full consideration. However, applications are welcome until the
position is filled.
Use the following links:
- https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=897 (Computer Graphics, Geometric Modeling and Robotics; Foundations of Data Science and Machine Learning; Artificial Intelligence)
- https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=898 (Programming Languages; Software Engineering; Distributed Systems)
Create your application, and upload your cover letter, CV, Research Statement, and Teaching Statement on that
site. The CV must include at least three names along with contact information for references.
The applications will be evaluated as they are received and accepted until the positions are filled. Contact: cs-faculty-
As an EEO employer, NJIT is committed to building a diverse and inclusive teaching, research, and working environment and
strongly encourages applications from individuals with disabilities, minorities, veterans, and women.