Doctoral researcher in Conversational AI for Customer and Employee Interactions

Using data and technology to conduct managerially relevant research Collaborating with experts and industry partners Attending international conferences to share your work Publishing in top scientific journals in Marketing and Information Systems fields (e.g., Journal of Marketing, Marketing Science, Management Information Systems Quarterly, Information Systems Research, Decision Support Systems etc.). Communicating and engaging with the public Teaching support and supervision under the umbrella of the Chair of Technology Marketing, D-MTEC

The Technology Marketing Group, founded by Florian von Wangenheim in 2013, is a pioneering research group at ETH Zurich dedicated to exploring the intersection of marketing, technology, and societal impact. Together with its associated centres and labs, we investigate how to effectively market innovative offerings and how emerging technologies transform the relationship between organisations and their stakeholders. The current PhD position offers an exciting opportunity to work with two centres within the Chair on managerially-relevant applied research: The Mobiliar Lab for Analytics at ETH Zurich develops and tests digital interactions using emerging technologies and artificial intelligence. As a joint initiative of ETH Zurich and a Swiss insurer, we focus on exploring the benefits of emerging technologies balanced against their dark sides. Our research at the intersection of data, behavioural, and computer science draws on data from real-world and experimental settings. The Centre for AI Value identifies and implements AI applications to generate economic value. It bridges academic AI research with practical business applications, focusing on customer service, multimodal data modelling, and process automation.

• Excellent written and oral communication skills in English

• Master’s degree that blends managerial knowhow and technical skills: e.g., AI Systems and Engineering Management, Business Analytics, Quantitative Marketing, Applied Artificial Intelligence

• Strong domain knowledge in the topic of Conversational AI

• Strong general interest in the intersection between technology and management

• Proficiency in all stages of quantitative data analyses (e.g., using Python or R): from data wrangling and feature engineering to running and evaluating models

• Comfortable taking a lead role in research meetings with project partners and networking in Switzerland

• Highly organised with exemplary project management skills

• Ability to work collaboratively in an interdisciplinary team