Position Overview
The Woxsen University School of Business invites applications for a Professor of Artificial Intelligence & Applied Analytics to strengthen its leadership in AI-driven decision-making, business analytics, and technology-enabled strategy.
This appointment targets scholars whose work sits at the intersection of advanced analytics, artificial intelligence, and managerial decision-making, with demonstrated relevance to real-world business problems. The successful candidate will combine rigorous research, executive-level teaching, and intellectual leadership in shaping the future of AI in business education.
Rank will be offered commensurate with academic stature and research record.
Core Domains of Interest
(One or more areas, broadly construed)
- AI for Business Decision-Making
- Applied Machine Learning & Predictive Analytics
- Generative AI and Large Language Models in Organizations
- Algorithmic Strategy, Pricing, and Optimization
- AI Governance, Risk, and Ethics for Enterprises
- Marketing Analytics, Customer Intelligence, and Personalization
- Financial Analytics, FinTech, and AI in Capital Markets
- Operations, Supply Chain, and Process Analytics
- Data-Driven Leadership and Digital Transformation
Responsibilities
Research & Thought Leadership
- Maintain an internationally visible research program in AI, analytics, or data-driven management
- Publish in top-tier journals (e.g., Management Science, MISQ, ISR, Journal of Marketing, Journal of Finance, Strategic Management Journal) and/or elite interdisciplinary outlets
- Develop practice-facing intellectual capital (cases, white papers, industry reports) alongside academic publications
- Lead or contribute to externally funded research projects, industry-sponsored labs, or analytics centers
- Shape the School's agenda in AI, analytics, and digital strategy
Teaching & Curriculum Leadership
- Design and teach MBA, Executive MBA, and doctoral-level courses in AI, analytics, and data-driven decision-making
- Translate advanced technical concepts into managerially actionable frameworks
- Contribute to executive education, corporate programs, and senior leadership workshops
- Mentor doctoral students and junior faculty in analytics-related research
Institutional & External Engagement
- Build partnerships with industry, startups, consulting firms, and policy institutions
- Represent the School at global academic and practitioner forums
- Contribute to academic governance, curriculum innovation, and accreditation-related initiatives
Required Qualifications
- PhD in Business, Analytics, Computer Science, Economics, Statistics, Operations Research, or a closely related field
- Strong publication record or clear trajectory in high-quality peer-reviewed journals
- Demonstrated expertise in AI, machine learning, or advanced analytics applied to business problems
- Evidence of effective teaching at the graduate or executive level
- Ability to operate comfortably across technical depth and managerial relevance
Preferred Qualifications
- Publications in FT50 / ABDC A* / ABS 4* journals or field-equivalent top outlets
- Experience working with industry data, platforms, or applied AI systems
- Prior engagement with consulting, industry research labs, or policy bodies
- Experience in executive education or C-suitelevel teaching
- Leadership experience in research centers, labs, or large projects
