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Engineering maths Instructor (10 / 10 / 2025)

Engineering maths Instructor (10 / 10 / 2025)

Newton School of TechnologyIndia
14 hours ago
Job description

Job Title : Senior Mathematics Instructor

Location : Sonipat (On-Site) | Pune (On-Site)

Institution : Newton School of Technology (in collaboration with Ajeenkya DY Patil University & Rishihood University)

About Us :

Newton School of Technology, in partnership with Ajeenkya DY Patil University and Rishihood University, is on a mission to redefine B.Tech education by blending strong academic foundations with practical industry relevance.

Our Mathematics Department forms the backbone of the B.Tech Computer Science and AI curriculum. With a team that includes educators from IITs, ISRO scientists, and seasoned industry professionals, we are building a transformative learning experience where rigorous mathematics directly connects to technology and innovation.

Role Overview

We are seeking a Senior Mathematics Instructor with proven experience in teaching B.Tech students. The role is academic-focused, involving lecturing, mentoring, and curriculum development in core mathematical subjects that are fundamental to Computer Science and AI.

You will be responsible for teaching and mentoring undergraduate B.Tech students in subjects such as :

  • Mathematical Foundations

Calculus (single and multivariable)

Linear Algebra

Probability and Statistics

Discrete Mathematics

Optimization and Applications

This is a full-time, on-site Academic role at our Sonipat and Pune campuses.

Key Responsibilities

  • Course Development & Delivery : Design and deliver engaging lectures, tutorials, and assessments in core B.Tech mathematics subjects.
  • Student Engagement & Mentorship : Provide academic support, guide projects, and mentor B.Tech students to strengthen mathematical reasoning and problem-solving skills.
  • Lab & Application Focus : Conduct lab-based sessions and link abstract concepts to real-world engineering and computer science applications.
  • Curriculum Enhancement : Collaborate with faculty, researchers, and industry experts to ensure the curriculum remains cutting-edge and aligned with tech industry needs.
  • Research & Innovation : Encourage student involvement in research projects, mathematical modeling, and applied problem-solving competitions.
  • Department Contribution : Work with our strong team of mathematics faculty to raise the overall quality and visibility of the Mathematics Department.
  • Required Skills & Qualifications

    Must-Haves :

  • Minimum 5+ years of teaching / training experience, preferably with B.Tech or undergraduate engineering students.
  • Strong expertise in Calculus, Linear Algebra, Probability, Discrete Mathematics, and Optimization.
  • Ability to simplify complex concepts and inspire student learning.
  • Passion for teaching and mentoring, with a student-first approach.
  • Good-to-Have :

  • Prior exposure to teaching Mathematics with applications in Computer Science (AI / ML, Data Science, Algorithms).
  • Familiarity with teaching tools and visualization software (e.g., Desmos, GeoGebra).
  • Experience in developing course content and academic material at the university level.
  • Background in research, publications, or software development related to mathematics.
  • Perks & Benefits

  • Competitive salary aligned with academic and industry standards.
  • Access to state-of-the-art classrooms and labs.
  • Collaboration opportunities with distinguished faculty and industry leaders.
  • A chance to shape the next generation of engineers and computer scientists.
  • Interview Process

    Technical Evaluation : Assessment of mathematical depth and problem-solving skills.

    Teaching Demonstration : Mock lecture on a B.Tech mathematics topic to evaluate teaching style, clarity, and student engagement.

    General Discussion & Culture Fit : Interaction with university and Newton School representatives.

    Learn more : Newton School of Technology

    Join us and be part of a pioneering academic team that’s redefining how mathematics powers the future of technology.

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