Doctoral researcher (PhD Position) in Conversational AI for Customer and Employee Interactions — ETH Zürich

CHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
Categoria: Ricerca Contratto: fixed-term Salario: CHF 73'500 - 111'500
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Location
Zurich
Contract
fixed-term
Posted
48 days ago
SalaryCHF 73'500 - 111'500

Role overview

Doctoral researcher (PhD Position) in Conversational AI for Customer and Employee Interactions 100%, Zurich, fixed-term print Drucken 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.

Main responsibilities

  • include, but are not limited to:
  • 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 Profile Essential requirements:
  • Excellent written and oral communication skills in English Master

Application process

  • 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 Project background During your PhD, you will examine how conversational AI can be deployed effectively to frontline service interactions with customers or as a support tool for employees.
  • Projects will explore success factors in designing and deploying Conversational AI.
  • This could include, for example, varying technical foundations (e.g., prompt engineering, fine-tuning, model architecture and retrieval strategies), the usage context (e.g., routine vs. special services), or unique individual level factors (e.g., personality profile, AI literacy) to ensure Conversational AI is optimised for its deployment context and contributes to excellent customer service and workplace efficiency.
  • Research output will therefore have clear managerial relevance.
  • Research activities will involve analysis of primary and secondary data, in both controlled and field settings.
  • The successful candidate will shape projects and research questions within this overarching scope, whilst working alongside closely industry partners and reacting to emergent research opportunities.
  • Job description We are currently seeking a doctoral researcher with both technical knowledge and skills related to the technical foundations of conversational AI as well as domain knowledge on how and why it can be deployed effectively.

Additional details

  • Responsibilities include, but are not limited to:
  • 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
  • Excellent written and oral communication skills in English

Notes and original content

  • 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
Apply now
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ETH Zürich · Zurich
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