Senior Maths Professor

Job Description Job Title:Senior Mathematics Professor (Probability and Stats) Location:Pune / Sonipat (On-site) Institution:Newton School of Technology (in collaboration with Ajeenkya DY Patil University & Rishihood University) Experience: 3+years in Teachning/Mentoring B.tech students. About Newton School of Technology: Newton School of Technology (NST) is a new-age institution on a mission toredefine B.Tech education in Indiaby blending academic rigor with practical, industry-driven learning. In partnership withAjeenkya DY Patil UniversityandRishihood University, NST is pioneering a new model of engineering education where foundational sciences directly connect to innovation inArtificial Intelligence, Data Science, and Computer Engineering. TheDepartment of Mathematicsforms the backbone of the B.Tech in Computer Science and Artificial Intelligence program. With a team comprisingIIT graduates, ISRO scientists, Ph.D. researchers, and leading industry professionals, NST's mathematics faculty ensures that students master both theoretical and applied aspects of mathematics essential for engineering disciplines. Role Overview We are seeking an experiencedSenior Mathematics Instructorto teach and mentorB.Tech engineering studentsin core mathematical subjects that form the foundation of computing, artificial intelligence, and data-driven technologies. This is afull-time, on-site academic positionat our Pune and Sonipat campuses. The role focuses on teaching excellence, student mentorship, curriculum innovation, and bridging the gap between mathematical theory and its engineering applications Key Responsibilities - Course Design & Delivery:Develop and deliver engaging lectures, tutorials, and assessments across key undergraduate engineering mathematics subjects such asCalculus, Linear Algebra, Probability & Statistics, Discrete Mathematics,andOptimization. - Student Mentorship:Guide and mentorB.Tech studentsin developing strong analytical reasoning, mathematical modeling, and problem-solving skills relevant to engineering and computer science. - Application Integration:Conduct application-oriented sessions linking mathematical principles to AI, ML, Data Science, and Engineering use cases. - Curriculum Development:Collaborate with faculty and industry experts to continuously update and modernize course content, aligning it with evolving technology trends. - Research & Innovation:Encourage undergraduate research in applied mathematics, mathematical modeling, and interdisciplinary projects. - Departmental Contribution:Support academic initiatives, faculty collaborations, and activities that enhance the overall quality and reputation of the Mathematics Department. Required Skills and Qualifications: Essential Qualifications: - Master's (M.Sc./M.Tech.) or Ph.D. in Mathematics or a closely related discipline. - Minimum3 years of teaching experienceat theundergraduate (engineering/B.Tech) level. - Expertise inCalculus, Linear Algebra, Probability, Discrete Mathematics, and Optimization. - Proven ability to teach complex mathematical concepts to engineering students in an applied, engaging manner. - Strong passion for teaching, mentorship, and curriculum enhancement. Preferred Qualifications: - Experience integrating mathematics withComputer Science, AI/ML, or Data Science applications. - Familiarity withmathematical software and visualization tools(e.g., MATLAB, GeoGebra, Desmos, Python). - Experience incurriculum design, academic research, or educational content development. - Exposure toindustry-academia collaboration or applied researchinitiatives. Perks and Benefits - Competitive salary aligned withacademic and industry standards. - Access tomodern classrooms, computational labs, and digital infrastructure. - Collaborate with a multidisciplinary team of educators fromIITs, ISRO, and leading global organizations. - Opportunities foracademic research, innovation projects, and publication support. - A vibrant, intellectually stimulating environment focused onredefining engineering education. Selection Process 1. Technical Evaluation:Assessment of mathematical depth and applied understanding. 2. Teaching Demonstration:Deliver a short lecture on an undergraduate engineering mathematics topic to evaluate clarity and student engagement. 3. Final Interaction & Culture Fit:Discussion with Newton School and partner university leadership teams.