Assistant Professor/Associate Professor- Business Analytics and Artificial Intelligence


Savanna HR


Academic Research


4 days ago

8-15 Yrs


Bengaluru/Bangalore


Description

Job Description

Position: Faculty – Business Analytics & Artificial Intelligence

Department: School of Business / Management

Openings: 2 Positions

Specialization Areas

Candidates with expertise in the following domains will be preferred:

Business Analytics

Artificial Intelligence for Business

Machine Learning Applications in Management

Data Analytics & Data Visualization

Predictive & Prescriptive Analytics

Big Data Analytics

AI-driven Decision Making

Generative AI Applications in Business

Key Responsibilities

Teach undergraduate, postgraduate, and executive courses in Business Analytics and Artificial Intelligence.

Design and deliver engaging curriculum incorporating industry tools, case studies, and practical applications.

Guide students in analytics projects, capstone projects, and research work.

Conduct research and publish in reputed peer-reviewed journals.

Develop industry collaborations for analytics projects, internships, and consulting assignments.

Contribute to curriculum development aligned with emerging technologies in AI and analytics.

Participate in academic administration, accreditation activities, and departmental initiatives.

Mentor students for competitions, research activities, and career development in analytics and AI domains.

Qualification

Ph.D. in Business Analytics / Data Science / Artificial Intelligence / Computer Science / Management or related discipline from a recognized university.

Strong academic background with research publications in reputed journals preferred.

Qualification and experience as per UGC/AICTE norms.

Experience

Assistant Professor: 0–5 years of teaching/research/industry experience.

Associate Professor: Minimum 8 years of teaching/research experience with strong publications.

Professor: Minimum 10–15 years of academic/research experience with proven leadership.

Skills & Competencies

Strong knowledge of analytics and AI tools such as Python, R, SQL, Tableau, Power BI, or similar platforms.

Ability to integrate real-world data and industry case studies into teaching.

Research orientation in AI and analytics applications in business.

Excellent communication, mentoring, and collaboration skills.


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