Subject Matter Expert - Probability & Statistics

1 - 6 years

3 - 8 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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

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