Senior Lecturer in Mathematics

Job Title: Senior Mathematics Instructor Location: Pune (On-Site) Newton School of Technology Experience: 5+ years in teaching/training advanced engineering mathematics. 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. We are currently looking for a Job Title: Mathematics Instructor Newton School of Technology Experience: 3+ years in teaching/training advanced engineering mathematics. Newton School,Rishihood University 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. We are currently looking for Senior Engineering 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. Join us as Senior Engineering 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. Teach and mentor B.Tech students in core Mathematics, including: Mathematical Foundations for Computer Science Probability & Statistics, Discrete Mathematics, Optimization. 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. 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). ~ 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. 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. The selection process consists of three rounds designed to assess technical expertise, teaching ability, and cultural fit : # Assessment of theoretical knowledge and problem solving skills along with conceptual approach in Mathematics. # 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 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