Assistant Teaching Professor, Cybersecurity

IMPORTANT APPLICATION INSTRUCTIONS:

• Upload Resume or Curriculum Vitae for automatic population of information to the application.
• The contact information, work experience, and education listed on your Resume/CV will be parsed and input into your Montclair application.
• Review information and double-check all fields containing information that the system parsed – the software is intelligent, but you need to verify that the data is accurate.
• In the “My Experience” section, you will find a Resume/CV upload option where you can submit your cover letter and all other supporting documents.

Note: If you have an expansive CV, we recommend that you apply manually and only include the positions you have held in the last ten (10) years. You will then be able to attach your Resume/CV, as well as all other supporting documentation in the "My Experience" section of your application.

Job Description

SUMMARY:

The School of Computing (SoC) is welcoming applications for a non-tenure track Assistant Teaching Professor in Cybersecurity to join our innovative team at Montclair State University. We are looking for a colleague who is familiar with Cybersecurity industry standards and certifications and is passionate about teaching in areas such as Linux physical and virtual lab, cloud infrastructure AWS, Cyber threats modelling and analysis, algorithmic thinking, mathematical, inferential thinking, statistical mechanics with lab-based tools for simulation and analysis and Cyber Defense and Resiliency and want to leverage Montclair’s NJ location to shape the next generation of cybersecurity education.

We are looking to hire a creative and enthusiastic individual to join our team as a non-tenure track Assistant Teaching Professor starting Fall 2025 who will be able to support the school for a variety of cybersecurity curricular design and teaching activities related to inspiring and educating students through engaging courses in Linux physical and virtual lab, cloud infrastructure AWS, Cyber threats modelling and analysis, algorithmic thinking, mathematical, inferential thinking, statistical mechanics with lab-based tools for simulation and analysis and Cyber Defense and Resiliency using experimental and experiential learning approaches. They will have a particular interest to craft and develop cutting-edge cybersecurity courses relevant to industry standards and certifications such as NSA accreditation and Cybersecurity industry standards and certifications such as CCNA, CISSP and SANS.

The candidate will be expected to lead an exciting cybersecurity and cyber resiliency related pedagogical design, learning and instruction with designing hands on cybersecurity labs and sandbox for penetration testing and offensive and defensive attack and tolerance in line with the industry standards and certifications. We are particularly interested to hear from someone who can bring fresh perspectives to both undergraduate and graduate-level cybersecurity teaching and bring passion to mentor both graduate and undergraduate students, fostering their growth and innovation. We are looking for candidates who will further help shape the future of our school by contributing to new programs development, including a Cybersecurity certificate and industry-oriented programs, online master's degree and a Ph.D. program. We welcome applications from a collaborative and an adaptable team player ready to support and drive new school initiatives.

You will join a dynamic and growing SoC at Montclair State University and be part of a supportive community that values innovation, creativity, community engaged scholarships and impact. You will enjoy the benefits of a tenure-track position at a respected research institution and will have opportunity to contribute to shaping the future of computer science education and research. The SoC is committed to add value to our students from diverse background and learning needs with a focus on conceptual, theoretical, experimental and experiential computing curriculum, labs and community engaged project-based learning. Faculty members conduct basic and applied research including community-engaged projects in areas of AI and Human Interactions, Cybersecurity, STEM learning and computing education, Natural Language Processing, Data Visualization, Software Engineering, Theoretical Computer Science, Statistical and Applied Mathematics. Faculty members regularly publish in national and international IEEE and ACM conferences and journals. We also have a growing success in attracting NSF grants including NSF CAREER w