PhD Monitor
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Management and Artificial Intelligence● OpenOpen until filledPreview

Doctoral Position: Customer-Facing AI in Marketing and Service

Investigate how customer-facing generative and multimodal AI can be designed for measurable value and live operations.

Best for:Best for quantitative researchers and computer science graduates motivated by behavioral, management, and conversational AI research questions.

ETH Zurich · Zurich, Switzerland · R1 · First-stage researcher
More professors at ETH Zurich
Conversational AIGenerative AIService OperationsMultimodal ModelsExperimental ResearchMarketing Analytics
Deadline
Until filled
rolling
Funding
Salaried
competitive one-year contracts, extendable
Start date
flexible
Full-time
Location
Zurich
Switzerland

Overview

The Center for AI Value at ETH Zurich invites applications for a doctoral position focusing on customer-facing artificial intelligence in marketing and service. The successful candidate will investigate critical design questions surrounding generative voice agents, emotional grounding during AI-to-human handovers, and multimodal prediction of marketing content performance. Working within the Technology Marketing Group alongside industry partners, the researcher will combine controlled experiments with field evaluations in live operational settings. Applicants are expected to conduct original research leading to top-tier management journal publications, assist with teaching, and collaborate closely with senior researchers.

Doctoral PositionCustomer-Facing AIVoice AgentsLLMMultimodal AIField ExperimentsETH Zurich

What you'll do

  • Design and execute controlled experiments, including live voice interaction studies and pre-registrations
  • Utilize and extend existing experimental infrastructure, prompt designs, and conversation logging pipelines
  • Validate LLM-based coding pipelines for transcript-derived measures against human-coded gold standards
  • Analyze experimental and operational data using causal and psychometric methods
  • Coordinate field experiments within industry collaborations, handling feasibility and randomization design
  • Work with multimodal embedding models and machine learning techniques for content performance prediction
  • Present research findings at international academic conferences and partner organizations
  • Contribute to teaching activities and supervise Master's theses within the Center's focus areas

Requirements

Degree required: Master of Science (MSc), Master of Arts (MA), or Master of Philosophy (MPhil) in business administration, computer science, or related fields

Degree offered: PhD

Language: English; strong communication and writing skills required

Instruction: English

Required skills
  • Strong empirical foundations in quantitative research or technical methods
  • Demonstrated interest in management and behavioral research questions
  • Excellent organizational and task prioritization skills
  • Strong communication and writing proficiency in English
Nice to have
Experience with experimental research designFamiliarity with conversational AI or large language modelsBackground in machine learning or multimodal data modeling
Eligibility
  • Candidates must currently reside in Europe

Funding & terms

Type
Salaried
Amount
competitive one-year contracts, extendable
Duration
extendable up to six years
Programme
ETH Zurich
ETH Zurich

How to apply

Prepare a cover letter addressing your interest and chosen projects, your CV, and academic transcripts. Submit your complete application exclusively through the ETH Zurich online application portal before the review process concludes.

Documents required
  • Cover letter
  • CV
  • University diplomas and transcripts
↗Apply on site

Contact

Sebastian Tillmanns· Senior Researcher

stillmanns@ethz.ch

https://aivalue.ethz.ch

ST
Prof.
Sebastian Tillmanns
Technology Marketing Group
Lab
Center for AI Value
ETH Zurich
Switzerland
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