Assistant Professor – Data Science

Assistant Professor – Data Science

Eligibility Criteria:

Educational Qualification:

• Master’s Degree/Ph.D. in Mathematics/ Statistics, or a related discipline.

Experience:

• Minimum 2–3 years of teaching or relevant industry experience.
• Research publications in peer-reviewed journals will be an added advantage.
• Practical exposure to data-driven industry projects is desirable.

Key Responsibilities:

• Deliver high-quality teaching in core and advanced areas of Data Science, including:
• Machine Learning, Artificial Intelligence
• Data Analytics, Big Data Technologies
• Predictive Modeling, Deep Learning
• Data Visualization Tools and Techniques
• Mentor students on industry-relevant skills and project work.
• Engage in research, publish in reputed journals, and participate in academic development.
• Collaborate with industry partners to enhance practical learning and internship opportunities.
• Contribute to curriculum development, accreditation efforts, and university policy initiatives.

Required Skills:

• Strong technical foundation in Data Science tools, programming languages (e.g., Python, R), and platforms.
• Ability to blend academic rigor with practical application.
• Excellent communication and mentoring skills.
• Familiarity with industry trends and ability to translate them into learning outcomes.

Join Us:

We welcome passionate academicians and experienced professionals who are keen to shape future data scientists and contribute to an innovation-driven academic culture.

How to Apply:

Interested candidates may send their updated CV