Job Description

About NST: Newton School of Technology (NST) is redefining technology education in India through a deeply industry-integrated and outcome-driven learning model. Founded by IIT alumni and backed by leading global investors, NST partners with premier universities to build future-ready engineers equipped with strong computer science fundamentals and real-world problem-solving capabilities.

n

At NST, students learn through hands-on projects, mentorship from experienced industry professionals, and exposure to cutting-edge technologies across Computer Science, AI, Systems, and Software Engineering.

n

About the Role: We are looking for a passionate and experienced PhD Instructor / Associate Professor – Computer Networks to join our Computer Science Department at NST, Pune.

n

This role is ideal for educators and researchers who combine strong academic foundations with practical systems and networking expertise. The selected candidate will play a key role in delivering high-impact teaching, curriculum innovation, lab development, student mentorship, and research initiatives in the domains of Computer Networks, Network Security, Distributed Systems, and Systems Engineering.

n

Key Responsibilities:

n

n
- Deliver application-oriented courses in Computer Networks, Network Security, Distributed Systems, Operating Systems, and Cloud Fundamentals.
n
- Conduct lectures, labs, workshops, and project-based learning sessions using modern teaching methodologies.
n
- Bridge theoretical networking concepts with practical industry applications and real-world systems.
n




- Design and improve curriculum, assignments, labs, and assessments aligned with industry standards.
n
- Introduce hands-on learning using Cisco Packet Tracer, Wireshark, Linux Networking Tools, Cloud Platforms, and Network Monitoring Tools.
n
- Develop industry-oriented capstone projects, case studies, and practical networking labs.
n
- Conduct research and contribute to publications, conferences, workshops, and academic collaborations.
n
- Mentor students in research projects, hackathons, internships, placements, and innovation initiatives.
n
- Guide students in system design, troubleshooting methodologies, and engineering best practices.
n
- Collaborate with faculty and academic leadership to support curriculum innovation, accreditation, and academic growth initiatives.
n

n

Required Qualifications & Skills :

n

n
- Ph.D. in Computer Science Engineering, Information Technology, Computer Networks, Systems Engineering, Cyber Security, or related disciplines.
n
- Strong academic background with consistent academic performance.
n
- 5+ years of combined experience in Teaching, Academia, Technical Training, or industry exposure in Networking, Systems,



or Infrastructure Engineering.
n
- Strong understanding of OSI & TCP/IP Models, Routing & Switching, TCP/UDP/IP, DNS, DHCP, Network Security Protocols, Firewalls, VPNs, SSL/TLS, SDN, Cloud Networking, Distributed Systems, and Linux/Unix Systems.
n
- Hands-on experience with Cisco/Juniper networking concepts, packet analysis & troubleshooting, shell scripting, Wireshark, network monitoring tools, and network simulation environments.
n
- Strong communication, mentoring, and classroom management abilities with experience in outcome-based education and edtech learning models.
n
- Industry certifications such as CCNA, CCNP, RHCE, AWS, or Azure Networking will be an added advantage.
n
- Exposure to backend systems, cloud infrastructure, or distributed systems engineering is preferred.
n

n

What Makes You a Robust Fit:

n

n
- Passion for teaching and mentoring future engineers
n
- Ability to simplify complex networking concepts
n
- Strong ownership mindset and academic leadership capabilities
n
- Interest in building scalable, future-ready technology education models
n
- Ability to blend industry practices with academic rigour
n

n

Why Join NST?

n

n
- Opportunity to shape next-generation tech education
n
- Work alongside industry professionals and academic innovators
n
- Build impactful learning experiences with high student ownership
n
- Collaborative and fast-growing academic ecosystem
n
- Strong focus on practical learning, research, and industry readiness
n

📌 Associate Professor - Computer Networks (Pune)
🏢 Newton School of Technology
📍 Pune