Assistant Professor- CSE; M.Tech​/UGC NET Qualified

Position: Assistant Professor- CSE (M.Tech/ UGC NET Qualified)
Assistant Professor – Computer Science
Location :
Sonipat, Delhi NCR
Institution:  Rishihood University (in partnership with Newton School of Technology)

About Us:

At Newton School of Technology, in collaboration with Rishihood University, we’re on a mission to reshape the future of technology education in India. Together, we are working to bridge the employability gap by equipping learners with relevant, industry-ready skills and creating meaningful impact h the combined strength of academic excellence and hands-on industry experience, we are building a forward-looking learning environment designed to nurture the next generation of tech innovators, problem-solvers, and leaders.

Job Summary:

We are looking for enthusiastic and committed Assistant Professors to join our growing
Computer Science department at our Sonipat campus. If you are passionate about teaching, excited about mentoring young minds, and eager to contribute to cutting-edge academic work, we would love to meet you. Whether your expertise lies in Mathematics, DSA, Web Development, AI/ML, Data Engineering, Backend/Frontend Development, Dev Ops, or System Design, you will play a key role in shaping strong, industry-ready talent.
Your responsibilities will include delivering impactful lectures, developing relevant curriculum, guiding students through labs and real projects, and contributing to the academic growth of the department.

Key Responsibility Areas:
Teaching & Learning

• Teach and engage students across a range of Computer Science subjects.

• Build and refine course content to keep it relevant and impactful.

• Lead lab sessions, support hands-on learning, and guide students through practical projects.

• Provide consistent support through mentoring, tutoring, and doubt-solving.
Academic Ownership & Innovation

• Take ownership of student learning outcomes and overall academic quality.

• Lead or contribute to research initiatives, innovation projects, and departmental development.

• Cultivate a supportive, collaborative, and inspiring learning environment.
Collaboration & Administration

• Work collaboratively with faculty, academic teams, and industry partners to enhance learning experiences.

• Actively participate in department events, academic committees, and institutional initiatives.

• Build strong relationships with students and colleagues to support a vibrant academic culture.

Qualifications:

• PhD or M.Tech in Computer Science or a related field (PhD preferred).

• UGC-qualified candidates are strongly preferred.

• Prior experience in teaching, mentoring, or academic roles is a plus.

• Strong communication skills and a passion for teaching and student development.

• Familiarity with industry tools, frameworks, and technologies relevant to your area of expertise.

Required Expertise (Any One or More)
Core CS & Mathematics

• Discrete Mathematics, Linear Algebra, Probability & Statistics

• Algorithms, Data Structures, Problem Solving
Software Development

• Frontend: HTML, CSS, JavaScript, React

• Backend:
Node.js, Java, Python, Databases, System Design

• MERN / Full-Stack Development
AI & Data

• AI, Machine Learning, Deep Learning

• Data Engineering, Big Data Technologies

• Applied Data Science
Systems & Dev Ops

• Operating Systems, Distributed Systems

• Cloud Platforms (AWS, Azure, GCP)

• Dev Ops Tools (Docker, Kubernetes, CI/CD)

Perks & Benefits:

• Competitive compensation and benefits

• Opportunities for research, publications, and academic collaborations

• Access to modern labs, tools, and state-of-the-art learning facilities

• Freedom to innovate and influence the next generation of technologists

• A warm, collaborative academic community that values growth and mentorship