Doctoral researcher (PhD Position) in Technology and AI for Individual and Organisational Resilience

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 upon how to create Responsible Digital Interactions by leveraging the benefits of emerging technologies balanced against their potential dark sides. Our research at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here.

In the upcoming project, we will examine how technology and AI can be leveraged to strengthen individual and organisational resilience across a variety of fields (e.g., business, education etc.). To do so, we will examine how both detection (e.g., use of data) and intervention (i.e., application of technology) can support individual (i.e., cognitive performance, stress, learning etc.) and organisational (i.e., staff turnover, employee satisfaction etc.) outcomes. This will be achieved through primary and secondary data collection in both controlled and field settings. The successful candidate will shape projects and research questions within this overarching scope.

We are currently seeking a doctoral researcher with knowledge and skills in both data analytics (e.g., machine learning, statistics, econometrics) and behavioural sciences (e.g., experimental design, survey research, application/development of theory). They should be interested in applying their skill set across domain types and be highly flexible and responsive to emerging opportunities with partners across industry and society. The candidate should be highly motivated to drive projects forward, as well as network across Switzerland.

Responsibilities include, but are not limited to:

• Using data and technology to solve real world problems
• Collaborating with experts and societal/industry partners
• Attending international conferences to present your work
• Publishing in top scientific journals
• Communicating and engaging with the public
• Teaching support and supervision under the umbrella of the Chair of Technology Marketing, D-MTEC

Essential requirements:

• Excellent written and oral communication skills using English and German
• Master’s degree with either a content-driven approach to data science (e.g., business analytics, computational linguistics, education/health data science) or quantitative approach to a behavioural science (e.g., computational social science, quantitative marketing, behavioural economics).
• Proficiency in all stages of quantitative data analyses (e.g., using Python or R): from data wrangling and feature engineering to developing 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
• Strong interest in technology

Desirable requirements:

• Experience with transformer models
• Familiarity and willingness to learn and apply design science frameworks and/or qualitative research methods
• Familiarity with information processing theories (e.g., cognitive load theory, embodied cognition)
• Experience working in research and/or academia

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.