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.

Required Skills & Qualifications:

Must Haves: 

Minimum 4+ years of industry experience with a focus on Maths topics.

Proficiency in Advanced Engineering Mathematics and its Applications particularly in topics like Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization etc.

Strong ability to explain complex technical concepts in simple terms to students.

Strong willingness to help students and do high impact work.

Good to have :

Prior teaching experience at the undergraduate or graduate level with Computer Science Applications

Expertise in Computer Science topics such as AI/ML or Data Science etc

Familiarity with visualization Softwares such as DesMos or Geogebra is a big plus

 Familiarity with modern teaching methodologies and academic tools

Experience in software development related to Maths.

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 of Technology.