FPI Predoctoral Fellowship (Project PID2024-155187OB-I00-KAN4MET)

Why IE University?

Every story begins with a purpose, and ours has always been about people. Founded in 1973, IE University has continuously raised the bar to drive positive change through education. We believe education is more than a path to professional success; it is a catalyst for personal transformation and meaningful impact. 

At IE University, we place people and their potential at the center of everything we do, empowering individuals to become extraordinary. We encourage bold thinking and foster a culture where innovation, curiosity, and courage lead to real-world impact. Together, we create an environment where talent thrives, and ideas shape the future. 

Our mission 

We support students in developing impact skills to live and lead with positive impact. This ignites a ripple effect: We transform people, who then transform others, systems, society, and, ultimately, our world.  

Our Purpose

To foster positive change.  

Values  

1. Cultivate the humanistic approach.  
2. Empower your entrepreneurial spirit 
3. Cherish the diversity of people, mind, and experience 
4. Drive innovation with a proactive mindset

• Analyze academic literature in management, business strategy, innovation, and platform markets to identify relevant research gaps and contribution opportunities.
• Implement advanced research methodologies, including statistics and econometrics, as well as empirical research related to AI and digital platforms.
• Develop, write, and present academic research papers at international conferences, workshops, and academic seminars.
• Prepare high-quality academic manuscripts for submission to peer-reviewed management and strategy journals. 
• Collaborate with faculty and research teams on ongoing research projects within the fields of corporate strategy, competition, innovation, and AI. 
• Contribute actively to the academic research environment of IE University, including participation in seminars and research discussions.

• Master’s degree in Management, Business Administration, Economics, or Engineering.
• Strong academic background, demonstrated through Bachelor’s and Master’s academic transcripts. 
• Solid knowledge of statistics and econometrics applied to empirical research. 
• Programming skills relevant for academic research (e.g. data analysis, econometric modeling).
• Research interests aligned with innovation, artificial intelligence, business and corporate strategy, competition, and platform markets. 
• Fluent English, both written and spoken, for academic writing and presentations.
• Availability to travel internationally to attend conferences and academic events.