Mathematics Specialist

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About Us

Newton School of Technology, in collaboration with Rishihood University (Sonipat) and Ajeenkya DY Patil University (Pune), is reimagining the future of engineering education. Built at the intersection of academic excellence and industry relevance, we are committed to nurturing engineering graduates with a strong foundation in core mathematics and its applications in modern computing disciplines.

Through this initiative, we aim to address the employability gap by combining rigorous academic training with real-world exposure.

Role Overview

Mathematics Instructor

curriculum design, classroom instruction, lab facilitation

Key Responsibilities

• Course Design and Instruction

• Plan and deliver lectures, tutorials, and assessments in core mathematical subjects including:
• Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics, and Optimization
• Tailor content delivery to match the academic level and learning pace of B.Tech students.

• Student Mentorship

• Guide and mentor students through their academic journey.
• Assist with assignments, projects, and concept reinforcement sessions.

• Lab and Application Integration

• Design and lead lab sessions using mathematical tools and software.
• Integrate theoretical concepts with real-world applications in computing and data science.

• Curriculum Development and Collaboration

• Continuously update course content in collaboration with faculty and industry experts.
• Align mathematical instruction with emerging fields such as

  AI, ML, Cryptography, and Data Analytics.

• Research & Innovation

• Encourage research-based learning and support students in academic or industry-driven research projects.
• Participate in faculty development and cross-disciplinary academic initiatives.

Required Skills & Qualifications:

Must-Haves:

• 2–4 years of teaching or industry experience involving Engineering Mathematics
• Deep understanding of core topics:

Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization.

• Strong communication and conceptual clarity.
• Ability to engage students and simplify complex mathematical ideas.
• Commitment to academic excellence and student-centered learning.

Good-to-Haves:

• Prior experience teaching B.Tech students in a classroom or lab setting.
• Familiarity with tools such as:

  Desmos, GeoGebra, MATLAB, R, or Python (NumPy/Matplotlib).

• Exposure to applied domains: AI/ML, Data Science, Cryptography.
• Experience with digital platforms for academic delivery (Moodle, Google Classroom, etc.)

Perks and Benefits

• Competitive salary aligned with market standards.
• Access to state-of-the-art classrooms and mathematics labs.
• Involvement in cutting-edge curriculum and interdisciplinary learning.
• Opportunity to contribute to high-impact education in a mission-driven academic environment.

Interview Process

1. Round 1 – Technical Assessment:

2. Conceptual test on core mathematics topics and teaching-oriented problem solving.

3. Round 2 – Teaching Demonstration:

4. Mock lecture to assess instructional ability, engagement, and clarity.

5. Round 3 – Final Discussion:

6. Interaction with institutional leadership to assess alignment, motivation, and cultural fit.

Be a part of a bold academic mission to shape the next generation of technology leaders.

To learn more, visit:

Newton School of Technology