Tenure Track Assistant Professor - Computer Science, Mathematics & Science
THE LESLEY H. AND WILLIAM L. COLLINS COLLEGE OF PROFESSIONAL STUDIES
Tenure track
Computer Science Mathematics and Science
Assistant Professor
Tenure Track Assistant Professor, Computer Science, Mathematics & Science
The Division of Computer Science, Mathematics and Science is seeking applications for a full-time, tenure-track appointment as Assistant Professor Computer Science, supporting the B.S. and M.S. degree programs in Computer Science and Cybersecurity as well as the BS in Information Technology commencing September 1, 2026.
The Institution
St. John’s established in 1870, has two New York City campuses; international locations in Rome, Italy; Limerick, Ireland; and Paris, France; and study abroad locations around the world. The Princeton Review and other top rankings consistently recognize the University’s outstanding academics, diverse student body, dynamic internship and volunteer opportunities, focus on student life, and diverse study abroad offerings. St. John’s University offers more than 100 undergraduate and graduate programs in its six colleges and schools, with a growing number of programs offered online. The University is accredited by the Middle States Commission on Higher Education and 12 other major academic and professional associations.
Commitment to Inclusion
As a Catholic and Vincentian university, St. John’s is committed to institutionalizing practices of inclusive excellence to ensure that we welcome and celebrate the intrinsic worth of all members of our community. We will become an even stronger university as we enhance equity at every level of our institution. Our graduates will excel in the competencies and values required for leadership and service in a rapidly evolving world.
Division/Department Information
The Lesley H. and William L Collins College of Professional Studies (CCPS) has the largest undergraduate student body within the University and serves close to 3700 students in various undergraduate and graduate level programs. For more information visit http://www.stjohns.edu/cps
The Division of Computer Science, Mathematics and Science offers 3 ABET accredited undergraduate degrees in Computer Science, Cyber Security Systems and Information Technology. Additionally, it also offers undergraduate degrees in Networking Systems, and Healthcare Informatics, as well as master's degrees in Data Science, Computer Science, and Cyber and Information Security. The graduate degrees in Data Science and Cyber and Information Security were among the first universities and colleges recently awarded ABET accreditation.
The Cybersecurity Systems undergraduate degree and the graduate degrees in Cyber and Information Security and Data Science are also part of an NSA designated Academic Center for Excellence.
The Division also houses the Institute for Data Science and The Sanford Family Cyber Security Lab. This lab is just one of several innovative labs that help students master career-specific skills and collaborate on interdisciplinary projects. The lab is equipped with state-of-the-art hardware and software, including 3D televisions and projectors, that give students the opportunity to utilize cybersecurity offensive and defensive tools to practice computer and network security techniques.
Faculty in the division are active research scholars and also active members of various local and international professional organizations. The Division also works with an Advisory Board which comprises members from various companies and institutions of which some are also alumni. For more information on our programs, please visit http://www.stjohns.edu/academics/schools-and-colleges/college-professional-studies/computer-science-mathematics-and-science
The division is the leading unit at St. John’s in AI studies. Research on AI is increasing in both quality and quantity. New AI classes have been introduced at all levels, from introductory courses for non-CS students to an undergraduate minor and the revamping of many graduate classes focused on Machine Learning. The Division is part of the AI alliance and assists in preparing students for the AWS AI professional certificate.
The university has made significant efforts in supporting its community through the integration of AI in teaching, learning, and research via the academic task force and other working groups.
Responsibilities
This is a teaching-intensive position (9-12 credit hours per semester on the Queens campus) with opportunities for research reductions. We place primary emphasis on the candidate’s commitment to teaching and student engagement, together with ongoing research productivity. Division faculty are expected to participate in academic advisement, student mentoring, academic assessment, and other activities as required by the Chair and/or Dean.
Qualifications
Candidates must hold a Ph.D. or equivalent in computer science, cybersecurity or related field. Ideal candidates should possess university/college teaching experience, as well as a record of research and scholarly publications. We are especially interested in candidates experienced in Cybersecurity, Artificial Intelligence and Machine Learning.
Candidates should be familiar with technology-supported learning pedagogy and be able to integrate technology into their teaching practices.
Application Process
Apply online:
Submit your letter of interest and CV.
Three letters of reference will be requested further along in the recruiting process.
Applications will be accepted until the position is filled.
In compliance with NYC’s Pay Transparency Act, the annual/hourly salary range for this position is $112,000 - $115,000. St. John’s University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.
St. John’s University is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, or any other characteristic protected by law. I understand that any offer of employment is subject to receipt by St. John’s University of satisfactory references, verification of employment and education
Internal Tracking: TF 26-57
Required Skills
Required Experience