Senior Maths Instructor: Engineering Maths

Job Title: Senior Mathematics Instructor (Engineering maths)

Location: Pune (On-Site)

Institution: Newton School of Technology 

Experience: 5+ years in teaching/training advanced engineering mathematics.

About the Role:

Overview :

Newton School and Ajeenkya DY Patil University have partnered to transform technology education and bridge the employability gap. Ajeenkya DY Patil University 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 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/ Pune.

Job Summary :

Join us as Senior Mathematics Instructor 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:

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 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.

Perks and Benefits : 

Competitive salary packages aligned with industry standards.

Access to state-of-the-art labs and classroom facilities

Contribution to cutting-edge academic work in collaboration with Newton School of Technology.

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