Doctoral Position in Customer-Facing AI in Marketing and Service
Conduct PhD research on customer-facing generative AI, voice agents, and multimodal marketing prediction at ETH Zürich.
Best for:Best for aspiring PhD researchers with a strong background in artificial intelligence, consumer behavior, or experimental research methods.
Overview
ETH Zürich invites applications for a doctoral position focusing on customer-facing generative AI in marketing and service. The successful candidate will investigate voice agent prompting, AI-to-human handovers, and multimodal marketing prediction through rigorous lab and field experiments conducted with industry partners. The role requires close engagement with empirical research methodologies and offers an opportunity to contribute cutting-edge insights to the intersection of artificial intelligence and consumer interaction. Applicants are expected to possess strong analytical skills and a solid foundation in relevant technical or behavioral domains.
What you'll do
- Design and execute lab and field experiments investigating customer-facing generative AI applications.
- Investigate voice agent prompting strategies and AI-to-human handover mechanisms.
- Develop and evaluate multimodal marketing prediction models.
- Collaborate with industry partners to gather empirical data and test deployable solutions.
- Prepare research findings for publication in top-tier academic journals and conferences.
Requirements
Degree required: Master's degree or equivalent in a relevant field
Degree offered: PhD
Language: Fluent English proficiency
Instruction: English
- Demonstrated interest in generative AI and customer interactions
- Experience with empirical research methods, such as lab or field experiments
- Strong analytical and problem-solving capabilities
- Ability to work collaboratively with industry partners and academic colleagues
Funding & terms
How to apply
Submit your application materials manually through the specified application channel or portal as instructed by the university.
- CV
- Cover letter
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