Faculty - Computer Science, AI & Mathematics

Newton School; Hyderabad; On-site; INR 900,000 - 1,700,000; Full time

Job summary

Newton School of Technology (NST) invites academicians, researchers, and industry professionals to join a mission blending fundamentals, research, and real-world application in tech education. You will design and deliver courses, mentor student projects, and contribute to curriculum development.

Open to PhD researchers and experienced M.Tech/M.E professionals, NST emphasizes strong technical depth, collaboration with universities, and a teaching+research ecosystem that links academia with

Qualifications

• PhD candidates or graduates with strong research/publication profile.
• Experience mentoring and teaching undergrad courses.
• Strong technical depth and problem-solving ability.
• Experience in AI/ML, software engineering or related fields.

Responsibilities

• Teach undergraduate courses in your area of expertise.
• Develop engaging, rigorous and industry-relevant content.
• Mentor students through technical projects and research.
• Guide students in engineering fundamentals and analytics.
• Conduct workshops, seminars and coding sessions.
• Design projects and assessments for practical learning.
• Collaborate with faculty and industry experts.
• Contribute to curriculum development and program improvements.
• For research faculty, contribute to publications and collaborations.

Skills

AI/ML

DSA

Distributed Systems

Networks

Computer Architecture

Embedded Systems

Software Engineering

Other emerging areas

Education

PhD in CS/Engineering/Math/AI/ML

M.Tech/M.E./MS

Job description

About the Company:Newton School of Technology (NST), in collaboration with Universitiesis building a new generation of technology education that combines strong computer science fundamentals, hands-on engineering, research, and industry exposure.

We are looking for exceptional academicians, researchers, and industry professionals who are passionate about technology, teaching, mentoring, and shaping the next generation of engineers.This opportunity is open to both research-oriented PhDs and experienced M.Tech/M.E professionals from the technology industry who bring strong technical depth and a passion for teachig

Key Responsibilities:

• Teach undergraduate courses in your area of expertise.
• Develop engaging, rigorous and industry-relevant course content.
• Mentor students through technical projects, research and problem-solving.
• Guide students in developing strong engineering and analytical fundamentals.
• Conduct workshops, seminars, coding sessions, research discussions and technical activities.
• Design projects and assessments that encourage practical learning.
• Collaborate with other faculty members and industry experts.
• Contribute to curriculum development and continuous improvement of academic programs.
• For research-oriented faculty, contribute to publications, research projects, collaborations, and the broader research ecosystem.
• Build a culture of curiosity, experimentation, problem-solving, and technical excellence.

Academic & Research Professionals

• PhD in Computer Science, Engineering, Mathematics, AI/ML, or a closely related discipline.
• Strong academic background from a reputed institution.
• Demonstrated research expertise in the relevant domain.
• Strong publication record in reputed journals/conferences is highly valued.
• Candidates with significant research contributions, patents, funded projects, postdoctoral experience, or industry-research collaborations will be preferred.
• Strong interest in teaching undergraduate students and mentoring student research/projects.

Industry Professionals

• M.Techin Computer Science, Engineering, Mathematics, or a closely related discipline.
• Strong industry experience in relevant technical domains.
• Demonstrated hands-on expertise in areas such as AI/ML, Software Engineering, DSA, Distributed Systems, Networks, Computer Architecture, Embedded Systems, or related fields.
• Experience with leading product companies, technology companies, R&D organizations, or technically demanding engineering environments is highly valued.
• Strong engineering fundamentals and ability to solve complex technical problems.
• A PhD/researcher who wants to combine research with high-impact teaching.
• A M.Tech/M.E professional looking to transition from industry into technology education.
• A senior engineer or technical expert who enjoys mentoring and developing talent.
• A researcher who wants to work on meaningful problems while interacting closely with students.

Someone who believes that excellent engineering education should combine fundamentals, research, and real-world application.

What will you work on:

Depending on your expertise, you may contribute to teaching and mentoring in one or more of the following areas:

• Artificial Intelligence & Machine Learning
• Data Structures & Algorithms
• Competitive Programming
• Software Engineering
• Computer Networks
• Embedded Systems & Computer Engineering
• Mathematics, Statistics & Applied Mathematics
• Other emerging areas of Computer Science and Technology

You will be involved in designing and delivering courses, mentoring students, developing projects, conducting technical workshops, and contributing to the academic and research ecosystem at NST.We are looking for individuals with exceptional technical depth, strong problem-solving ability, and a genuine passion for teaching and mentoring.

What Makes you a Strong Fit :

• A PhD/researcher who wants to combine research with high-impact teaching.
• An M.Tech/M.E./MS professional looking to transition from industry into technology education.
• A senior engineer or technical expert who enjoys mentoring and developing talent.
• A researcher who wants to work on meaningful problems while interacting closely with students.

Someone who believes that excellent engineering education should combine fundamentals, research, and real-world application.

Experiance:

Typically 3-8+ years of relevant experience, depending on the role and profile.

We are particularly interested in:

Academic/Research Talent: PhD candidates and graduates with strong research and publication profiles.

Industry Talent: M.Tech/M.E professionals with strong technical depth and relevant industry experience.

Exceptional candidates with non-linear career paths may also be considered based on their expertise and impact.

Why Join Newton School of Technology?

• Work with highly motivated and talented students.
• Build and teach next-generation technology education.
• Opportunity to transition from industry to academia without losing connection with real-world technology.
• Opportunity for researchers to build meaningful teaching + research careers.
• Collaborate with academicians, researchers and industry professionals.
• Develop courses, projects and learning experiences from the ground up.
• Be part of an ambitious technology-focused academic ecosystem.

If you are an academician, researcher, engineer, or technology professional with strong technical expertise and a passion for developing the next generation of engineers, we would love to hear from you.