Subject Matter Expert - Core Computer Science

Newton School; Sonipat; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Rishihood University in India collaborates with Newton School to recruit a Subject Matter Expert in Computer Networks and Computer Architecture. The role focuses on strengthening curriculum, labs, and learning outcomes while mentoring students.

The SME will work with faculty to design hands-on labs, practical projects, and assessments, bridging theory with industry practices and modern networking concepts.

Qualifications

• Strong theoretical and practical grounding in Computer Networks and Computer Architecture.
• Experience in teaching, mentoring, or technical training is preferred.
• Ability to design labs, assignments, and assessments for outcome-based education.

Responsibilities

• Demonstrate deep expertise in Computer Networks and Computer Architecture.
• Support classroom and lab delivery through lectures, tutorials, and hands-on activities.
• Develop course content, assignments, projects, and assessments; continuously improve based on feedback.
• Mentor students, plan practical learning experiences, and connect theory to real-world engineering.

Skills

Computer Networks

Computer Architecture

Linux/Unix

Networking tools

Scripting environments

Education

M.Tech / M.E. / Ph.D. in related field

B.Tech / B.E. with strong expertise

Tools

Wireshark

Linux networking utilities

Simulators/Emulators

Python scripting

Job description

About the Institution: Rishihood University, India’s first impact university, has partnered with Newton School of Technology to build a future-forward model for technology education. This collaboration blends academic rigor with industry relevance, ensuring students don’t just learn — they build, apply, and succeed in real-world technology careers.

About the Role:We are looking for a passionate and technically strong Subject Matter Expert (SME) – Computer Networks & Computer Architecture who can bring deep subject knowledge, practical problem-solving ability, and a strong interest in teaching and mentoring.

The SME will work closely with faculty, instructors, and academic teams to strengthen course delivery, curriculum, learning content, labs, assessments, and student outcomes across Computer Networks and Computer Architecture.

This role is ideal for professionals from academia, industry, research, technical training, or engineering backgrounds who enjoy simplifying complex technical concepts and creating engaging, application-oriented learning experiences.

Key Responsibilities

1. Subject Matter Expertise & Teaching Support

• Demonstrate strong conceptual and practical expertise in Computer Networks and Computer Architecture.
• Support classroom and lab delivery through lectures, tutorials, problem-solving sessions, and hands-on activities.
• Explain complex technical concepts in a simple, structured, and application-oriented manner.
• Conduct doubt-solving, revision, and advanced problem-solving sessions for students.
• Connect theoretical concepts with real-world systems, products, and engineering applications.
  

2. Curriculum & Content Development

• Develop and review course content, lecture materials, assignments, quizzes, projects, and assessments.
• Design practical learning experiences, case studies, simulations, and system-level problem-solving exercises.
• Continuously improve course content based on student feedback, learning outcomes, and industry developments.
• Ensure learning materials maintain strong conceptual depth while remaining relevant to current technology practices.
  

Computer Networks – Core Expertise

Strong understanding of:

• OSI & TCP/IP Models
• IPv4, IPv6, Subnetting and Routing
• TCP, UDP and IP
• DNS, DHCP, HTTP/HTTPS
• Switching and Routing Fundamentals
• Network Security Fundamentals
• Firewalls, VPNs and SSL/TLS
• Socket Programming and Client-Server Architecture
• Basic Cloud and Distributed Networking concepts
  

Computer Architecture – Core Expertise

Strong understanding of:

• Digital Computer Organization
• CPU Architecture and Instruction Set Architecture
• ALU, Control Unit and Registers
• Datapath and Control
• Memory Hierarchy
• Cache Memory and Virtual Memory
• Main Memory and Storage
• Pipelining and Pipeline Hazards
• RISC vs CISC Architectures
• I/O Organization and Interrupts
• Parallelism and Multiprocessor Architecture
• Basics of GPU/Modern Processor Architecture

Hands-on & Practical Learning

• Design and support hands-on labs using Linux/Unix systems and networking tools.
• Create practical exercises around network configuration, troubleshooting, packet analysis, and system-level concepts.
• Use tools such as Wireshark, Linux networking utilities, simulators/emulators, and scripting environments where relevant.
• Encourage students to solve real-world engineering problems through projects and practical assignments.

Student Mentorship & Engagement

• Mentor students on technical concepts, projects, assignments, and problem‑solving.
• Help students develop strong foundations in systems and networking.
• Guide students in building practical projects and preparing for technical interviews.
• Identify learning gaps and provide targeted interventions to improve student outcomes.
• Encourage curiosity, experimentation, and independent technical learning.

Faculty & Academic Collaboration

• Collaborate with faculty, instructors, and Teaching Assistants to ensure consistency in course delivery.
• Support faculty with subject‑matter expertise, technical content, labs, and assessments.
• Participate in course reviews, academic planning, and continuous improvement initiatives.
• Contribute to building a strong and collaborative academic culture.

Required Qualifications

• M.Tech / M.E. / Ph.D. in Computer Science Engineering, Information Technology, Computer Networks, Computer Architecture, Electronics & Communication Engineering, Systems Engineering, or a related discipline is preferred.
• B.Tech / B.E. in a relevant discipline with strong subject expertise may also be considered for candidates with significant industry, teaching, or technical training experience.
• Strong academic foundation and demonstrated expertise in Computer Networks and/or Computer Architecture.

Experience

• 1+ years of experience in academia, teaching, technical training, mentoring, research, or relevant industry experience.
• Prior experience as a Subject Matter Expert, Faculty, Instructor, Technical Trainer, Teaching Assistant, Researcher, or Systems/Network Engineer is preferred.
• Strong industry experience in networking, systems, infrastructure, software engineering, or computer architecture will be an added advantage.
• Candidates with strong hands‑on expertise and a demonstrated passion for teaching and mentoring are encouraged to apply.

Preferred Skills

• Strong communication and presentation skills.
• Ability to simplify complex technical concepts.
• Strong problem‑solving and analytical thinking.
• Experience in curriculum/content development.
• Experience designing labs, assignments, projects, or assessments.
• Familiarity with outcome‑based education and modern learning methodologies.
• Hands‑on experience with Linux/Unix and networking tools.
• Exposure to system design, distributed systems, cloud computing, or backend engineering is a plus.
• Passion for working with students and building high‑quality technical learning experiences. What Makes You a Strong Fit

What Makes You a Strong Fit

• You have strong fundamentals in Computer Networks and Computer Architecture.
• You enjoy teaching, mentoring, and simplifying complex technical concepts.
• You can bridge theory with practical engineering applications.
• You are comfortable designing problems, labs, projects, and assessments.
• You have a strong ownership mindset and care about student learning outcomes.
• You are excited about building the next generation of technology talent.
• You enjoy working collaboratively with faculty, instructors, and academic teams.

Preferred:Immediate Joiners preferred.