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Job Title: Mathematics Subject matter ExpertLocation: Pune, Bangalore, Hyderabad (On-Site)Institution: Newton School of TechnologyExperience: 1+ years in teaching/training advanced engineering mathematics.About the Role:Overview :Newton School, S-vyasa and Ajeenkya DY Patil University have partnered to transformtechnology education and bridge the employability gap. Ajeenkya DY Patil University andRishihood University in collaboration with Newton School, is committed to revolutionizinglearning, empowering students, and shaping the future of the tech industry.With a team of renowned professionals and industry leaders, we aim to solve theemployability challenge and create a lasting impact on society.We are currently looking for a Mathematics Subject Matter Expert to join our MathematicsDepartment. These are academic-focused roles, requiring a strong background inAdvanced Engineering Maths, teaching, and mentoring students in core ComputerScience subjects.These are full time( On-site) Academic roles at Newton school of Technology acrossdifferent locations: Pune, Bangalore and Hyderabad.Job Summary :Join us as an Mathematics Subject Matter Expert in our Mathematics Department atNewton School of Technology.We are seeking an experienced professional to deliver high-quality lectures, design coursecontent, 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 practicalsessions 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, DataScience, 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-oncoding experience.● Cross-Functional Collaboration: Work closely with faculty members, researchers, andindustry partners to enhance the curriculum.● Academic Excellence & Student Success: Mentor students, assist with project work, andensure academic growth.● Stakeholder Engagement: Collaborate with university administrators and Newton Schoolrepresentatives to drive innovation.● Research & Innovation: Encourage students to engage in cutting-edge research and industrycollaborations.Required Skills & Qualifications:Must Haves:● Expertise in Core Mathematics – Strong command of Linear Algebra, AdvancedCalculus, Probability & Statistics, Discrete Mathematics, and Mathematical Foundationsfor Computer Science.● Teaching & Mentoring B.Tech Students – Proven ability to explain complexmathematical concepts in a simple, engaging manner for engineering students(B.tech Computer Science students)● Curriculum Development & Delivery – Experience in designing, structuring, anddelivering courses/lectures with modern teaching methodologies.● Application-Oriented Thinking – Ability to connect Mathematics to Computer Scienceapplications (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 ofTechnology.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 problemsolving skills along with conceptual approach in Mathematics.2. Round 2 – Topic Delivery Assessment: Candidates will be required to deliver amock lecture to evaluate, teaching methodology, engagement, and conceptual clarity3. Round 3 – General Discussion & Culture Fit: A discussion with university andNewton 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 moreabout Newton School of Technology and our work.We look forward to welcoming you to our academic team and shaping the future oftechnology education together!Links for your reference:Newton School of Technology