M. (Maedeh) Norouzi

We live in a highly connected world filled with digital technologies, social media, mobile devices, Internet-of-Things, smart cities, and connected cars. The growth of information technologies has created new opportunities across different industries as companies innovate to meet changes in consumer demand, and has given rise to new challenges. In our Ph.D. program in Information Systems, you will be trained to conduct innovative research to address increasingly complex challenges facing digital society. Our faculty is working on a variety of projects in this area ranging from digital platforms, AR/VR, ChatGPT, blockchain and NFT, circular and digital businesses, energy digitalization and energy informatics, data markets, recommendation and personalization, social media and social networks, online piracy and privacy, AI and ethics, and the role of AI in future businesses.

We are seeking highly motivated students with demonstrated academic ability, those who possess a commitment to interdisciplinary research on significant information technology and management issues, and those who desire to pursue an academic research career in this field. You will be part of the Business Information Management (BIM) section within the Department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University.

Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil, or Research Master in economics, computer science, econometrics, statistics, or a related field. Successful candidates have proficiency with R, SQL, Python, or other programming languages.

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through coursework in information systems, economics, econometrics, machine learning, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.