Associate Instructor(Probability and Statistics)

Overview

Newton School and Ajeenkya DY Patil University have partnered to transform technology education and bridge the employability gap. Ajeenkya DY Patil University in collaboration with Newton School, is committed to revolutionizing learning, empowering students, and shaping the future of the tech industry.

With a team of renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society.

We are currently looking for a Associate Instructor in Probability and Statistics to join our Mathematics Department. This is an academic-focused role, requiring a strong background in Advanced Engineering Maths, teaching, and mentoring students in core Computer Science subjects.

This is a full time Academic role at Ajeenkya DY Patil University, Pune.

Job Summary

Join us as an Associate Instructor in Probability and Statistics 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.

Key Responsibilities

• Course Development & Delivery : Design and deliver engaging lectures and practical sessions in Mathematical Topics.
• 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 Haves

Required Skills & Qualifications :

Good To Have

Perks And Benefits

Skills Required

Ml, discrete mathematics, Data Science, Ai, calculus, Optimization, linear algebra, geogebra