
Assistant Professor – Data Science
3 weeks ago
We are seeking passionate and competent individuals to join its dynamic and industry-aligned academic ecosystem as 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
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