Senior Instructor (Mathematics)

Experience Required

• 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, 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.
  

Must Have

• 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.
  

• 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 the Newton School of Technology and Rishihood University, Sonipat, and Ajeenkya DY Patil University