Subject matter expert - Maths (Calculus, linear algebra) | Pune & Sonepat Job | Scan The Barcode 😊

Описание: Subject matter expert - Maths (Calculus, linear algebra) | Pune & Sonepat Job | Scan The Barcode 😊


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Subject matter expert - Maths (Calculus, linear algebra)
Location: Pune & Sonepat

Role & 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.
•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.

Ideal Candidate:
•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.

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