Postdoctoral Researcher & Assistant Professor in Management

Position Overview

We seek an exceptional researcher to advance groundbreaking work at the intersection of management science, cognitive psychology, and human-AI collaboration. This role focuses on understanding how organizations can optimize human-technology integration while preserving cognitive capabilities and enhancing decision-making performance.

Research Focus Areas

• Organizational Cognitive Modeling:

  Develop predictive frameworks for human performance in technology-augmented environments

• Innovation Management:

  Study how cognitive augmentation technologies transform organizational innovation processes

• Decision Systems Architecture:

  Design optimal human-AI collaborative structures for complex organizational decisions

• Behavioral Economics of AI Integration:

  Quantify productivity gains while measuring cognitive dependency risks

• Leadership in Hybrid Intelligence Systems:

  Investigate management practices for human-AI teams

Key Responsibilities

Research & Innovation:

• Collaborate on expanding Behavioral GPS applications to organizational contexts
• Develop cognitive load optimization models for management decision-making
• Publish high-impact research in top-tier management and cognitive science journals
• Contribute to patent applications for organizational intelligence systems

Academic Excellence:

• Teach graduate courses in cognitive-informed management and innovation leadership
• Supervise PhD students in interdisciplinary research projects
• Present findings at premier conferences (Academy of Management, INFORMS, Web Summit)
• Build collaborative networks with industry partners and academic institutions

Applied Impact:

• Consult on organizational transformation projects with major corporations
• Develop executive education programs on human-AI collaboration
• Contribute to smart city and healthcare system optimization projects

Qualifications

Required:

• PhD in Management, Organizational Psychology, Cognitive Science, or related field
• Demonstrated expertise in quantitative research methods and statistical modeling
• Publications in peer-reviewed journals with impact factor >3.0
• Experience with human-computer interaction or decision support systems
• Strong programming skills (Python, R, or similar)