Senior Mathematics Faculty

Job Title: Senior Mathematics Instructor/Faculty

Location: Bangalore (On-Site), Sonipat (On-Site)

Institution: Newton School of Technology

Experience: 4 + years in teaching/training advanced engineering mathematics.

About the Role:

Overview :

Newton School and S-Vyasa Institute have partnered to transform technology education and bridge the employability gap. S-Vyasa Institute and Rishihood University in collaboration with Newton School, is committed to revolutionizing learning, empowering students, and shaping the future of the tech industry.

With a team of renowned professionals and industry leaders , we aim to solve the employability challenge and create a lasting impact on society.

We are currently looking for a Senior Mathematics Faculty/ Instructor to join our Mathematics Department . These are academic-focused roles , requiring a strong background in Advanced Engineering Maths, teaching, and mentoring students in core Computer Science subjects.

These are full-time (on-site) academic roles at Newton school of Technology across Different locations: Sonipat and Bangalore.

Job Summary :

Join us as an Senior Mathematics Instructor/Faculty in our Mathematics Department at Newton School of Technology.

We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students and take lab classes ensuring their success in the tech field.

Key Responsibilities:

Course Development & Delivery: Design and deliver engaging lectures and practical sessions in Mathematical Topics.

• Teach and mentor B.Tech students in core Mathematics, including:

Linear Algebra

Advanced Calculus

Mathematical Foundations for Computer Science.

Probability & Statistics, Discrete Mathematics, Optimization.

• Design and deliver engaging lectures, tutorials, and practical sessions .

• Integrate Mathematical concepts with Computer Science applications AI, Data Science, Algorithms.

• Mentor students through projects, competitions, and guided research.
• Collaborate in curriculum development alongside faculty and industry advisors.

Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience.

Cross-Functional Collaboration: Work closely with faculty members, researchers, and industry partners to enhance the curriculum.

Academic Excellence & Student Success: Mentor students, assist with project work, and ensure academic growth.

Stakeholder Engagement: Collaborate with university administrators and Newton School representatives to drive innovation.

Research & Innovation: Encourage students to engage in cutting-edge research and industry collaborations.

Required Skills & Qualifications:

4+ years of experience delivering instruction to undergraduate and postgraduate (B.Tech/M.Tech)

Must Haves:

• Expertise in Core Mathematics Strong command of Linear Algebra, Advanced Calculus, Probability & Statistics, Discrete Mathematics, and Mathematical Foundations for Computer Science.

• Teaching & Mentoring B.Tech Students Proven ability to explain complex mathematical concepts in a simple, engaging manner for engineering students (B.tech Computer Science students)

• Curriculum Development & Delivery Experience in designing, structuring, and delivering courses/lectures with modern teaching methodologies.

• Application-Oriented Thinking Ability to connect Mathematics to Computer Science applications (AI/ML, Data Science, Optimization, Algorithms).

• Communication & Engagement Skills Excellent verbal and written communication, with strong student engagement and mentorship capability.

Good to have:

• Prior experience teaching at the undergraduate or postgraduate level in Mathematics (especially in CS contexts).

• Familiarity with AI/ML, Data Science, or Optimization applications.

• Knowledge of tools like GeoGebra, Desmos, MATLAB, or Python.

• Exposure to research or Math-based software development.

Why Join Us:

• Meaningful academic career foundation with structured growth.
• Opportunity to work with research scholars, experienced academicians, and industry experts.
• Exposure to modern labs, active learning environments, and curriculum innovation.

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Interview Process:

The selection process consists of three rounds designed to assess technical expertise, teaching ability, and cultural fit :

1. Round 1 Technical Evaluation: Assessment of theoretical knowledge and problem solving skills along with conceptual approach in Mathematics.
2. Round 2 Topic Delivery Assessment: Candidates will be required to deliver a mock lecture to evaluate, teaching methodology, engagement, and conceptual clarity
3. Round 3 General Discussion & Culture Fit: A discussion with university and Newton School representatives to assess alignment with academic values, teamwork, and long-term career aspirations.

In the meantime, you can explore our website Newton School of Technology to learn more about Newton School of Technology and our work.

We look forward to welcoming you to our academic team and shaping the future of technology education together!

Links for your reference:

Newton School of Technology