Engineering Maths Instructor

Job highlights

• This is a full time academic,full-capacity,on-site role at Ajeenkya DY Patil University,Pune
• Join us as an Engineering Mathematics Instructor in our Mathematics Department at Newton School of Technology to deliver lectures to B.tech Computer science and AI students
• Lab Management: Conduct and manage lab sessions to provide students with hands-on coding experience

Job Title: Engineering Mathematics Instructor

Location: Pune (On-Site)
Institution: Newton School of Technology / Ajeenkya DY Patil University, Pune
Experience: 3+ 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 seeking a mathematics Instructor for our mathematics Department to teach Advanced Engineering Mathematics to B.Tech students. The role involves delivering curriculum aligned with core computer science programs, mentoring students, and supporting their academic development through effective classroom instruction and guidance.

This is a full time academic, full-capacity, on-site role at Ajeenkya DY Patil University, Pune. Please apply only if you have taught B.tech students before.

Job Summary:

Join us as an Engineering Mathematics Instructor in our Mathematics Department at Newton School of Technology to deliver lectures to B.tech Computer science and AI students.

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.

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:

Minimum 3+ years of industry experience with a focus on Maths topics.

Proficiency in Advanced Engineering Mathematics and its Applications particularly in topics like Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization etc.

Strong ability to explain complex technical concepts in simple terms to students.

Strong willingness to help students and do high impact work.

Good to have:

Prior teaching experience at the undergraduate or graduate level with Computer Science Applications

Expertise in Computer Science topics such as AI/ML or Data Science etc.

Familiarity with visualization Softwares such as DesMos or Geogebra is a big plus.

Familiarity with modern teaching methodologies and academic tools.

Experience in software development related to Maths.

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 . Also, please request share your Updated resume as discussed.

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

Job Title: Engineering Mathematics Instructor

Location: Pune (On-Site)
Institution:

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