Experience: 2.00 + years
Salary: Confidential (based on experience)
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office (Pune)
Placement Type: Full time Permanent Position
(*Note: This is a requirement for one of Uplers client - Newton School)
What do you need for this opportunity?
Must have skills required:
Mathematica, engineering maths, Discrete maths, Calculus, linear algebra
Newton School is Looking for:
Job Title: Mathematics Instructor
Location: Pune, Sonipat (On-Site)
Institution: Newton School of Technology
Experience: 3+ years in teaching/training advanced engineering mathematics.
About the Role:
Overview : Why join us?
At Newton School of Technology, we are redefining how engineering is taught in India. In collaboration with Ajeenkya DY Patil University and Rishihood University, we are building a new-age academic ecosystem where industry leaders, researchers, and educators work together to train the next generation of engineers.
You’ll be joining a high-impact academic team that includes scientists from ISRO, ICPC world finalists, and industry veterans. Together, we are solving India’s biggest challenge: the employability gap.
If you love Mathematics, teaching B.Tech students, and shaping future engineers, this role is for you.
These are full-time (on-site academic) roles at Newton school of Technology across Different locations: Sonipat and Pune.
Job Summary :
Join us as an 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 of B.tech Computer Science 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.
- 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 (B.tech 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:
Round 1 –
Technical Evaluation: Assessment of theoretical knowledge and problem solving skills along with conceptual approach in Mathematics.
Round 2 –
Topic Delivery Assessment: Candidates will be required to deliver a mock lecture to evaluate, teaching methodology, engagement, and conceptual clarity
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
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!