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Senior Maths Instructor

Senior Maths Instructor

ConfidentialSonipat, Sonipat / Sonepat, India
2 days ago
Job description

Job Title :  Senior Mathematics Instructor

Location :  Pune / Sonipat (On-site)

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

About Newton School of Technology

Newton School of Technology (NST) is a new-age institution on a mission to  redefine B.Tech education in India  by blending academic rigor with practical, industry-driven learning.

In partnership with  Ajeenkya DY Patil University  and  Rishihood University , NST is pioneering a new model of engineering education where foundational sciences directly connect to innovation in  Artificial Intelligence, Data Science, and Computer Engineering .

The  Department of Mathematics  forms the backbone of the B.Tech in Computer Science and Artificial Intelligence program. With a team comprising  IIT graduates, ISRO scientists, Ph.D. researchers, and leading industry professionals , NST's mathematics faculty ensures that students master both theoretical and applied aspects of mathematics essential for engineering disciplines.

Role Overview

We are seeking an experienced  Senior Mathematics Instructor  to teach and mentor  B.Tech engineering students  in core mathematical subjects that form the foundation of computing, artificial intelligence, and data-driven technologies.

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

The role focuses on teaching excellence, student mentorship, curriculum innovation, and bridging the gap between mathematical theory and its engineering applications

Key Responsibilities

  • Course Design & Delivery :  Develop and deliver engaging lectures, tutorials, and assessments across key undergraduate engineering mathematics subjects such as  Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics,  and  Optimization.
  • Student Mentorship :  Guide and mentor  B.Tech students  in developing strong analytical reasoning, mathematical modeling, and problem-solving skills relevant to engineering and computer science.
  • Application Integration :  Conduct application-oriented sessions linking mathematical principles to AI, ML, Data Science, and Engineering use cases.
  • Curriculum Development :  Collaborate with faculty and industry experts to continuously update and modernize course content, aligning it with evolving technology trends.
  • Research & Innovation :  Encourage undergraduate research in applied mathematics, mathematical modeling, and interdisciplinary projects.
  • Departmental Contribution :  Support academic initiatives, faculty collaborations, and activities that enhance the overall quality and reputation of the Mathematics Department.

Required Skills and Qualifications :

Essential Qualifications :

  • Master's (M.Sc. / M.Tech.) or Ph.D. in Mathematics or a closely related discipline.
  • Minimum  5 years of teaching experience  at the  undergraduate (engineering / B.Tech) level .
  • Expertise in  Calculus, Linear Algebra, Probability, Discrete Mathematics, and Optimization.
  • Proven ability to teach complex mathematical concepts to engineering students in an applied, engaging manner.
  • Strong passion for teaching, mentorship, and curriculum enhancement.
  • Preferred Qualifications :

  • Experience integrating mathematics with  Computer Science, AI / ML, or Data Science applications.
  • Familiarity with  mathematical software and visualization tools  (e.g., MATLAB, GeoGebra, Desmos, Python).
  • Experience in  curriculum design, academic research, or educational content development.
  • Exposure to  industry-academia collaboration or applied research  initiatives.
  • Perks and Benefits

  • Competitive salary aligned with  academic and industry standards.
  • Access to  modern classrooms, computational labs, and digital infrastructure.
  • Collaborate with a multidisciplinary team of educators from  IITs, ISRO, and leading global organizations.
  • Opportunities for  academic research, innovation projects, and publication support.
  • A vibrant, intellectually stimulating environment focused on  redefining engineering education.
  • Selection Process

  • Technical Evaluation :  Assessment of mathematical depth and applied understanding.
  • Teaching Demonstration :  Deliver a short lecture on an undergraduate engineering mathematics topic to evaluate clarity and student engagement.
  • Final Interaction & Culture Fit :  Discussion with Newton School and partner university leadership teams.
  • Skills Required

    discrete mathematics, geogebra , probability , calculus, Optimization, linear algebra, Python, Matlab

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