PhD Candidate in Human-AI Systems Design & Analysis

1000scholars

Zürich

In loco

CHF 60.000 - 85.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

ETH Zurich is offering a Doctoral Student position in Design and Analysis of Human-AI Systems. The role is 100% at Zürich, a fixed-term appointment linked to a PhD track.

The starting date is negotiable, with an 18-month initial term and potential extension to four- to five-year duration of the doctorate, subject to progress. The successful candidate will conduct high-impact research, contribute to teaching and mentoring, and collaborate with external organizations to evaluate methods, under ETH

Competenze

  • Master's degree in a closely related field is required.
  • Excellent academic records and motivation for policy-relevant research.
  • Strong analytical and modeling skills in optimization and mechanism design.

Mansioni

  • Analyze AI systems where the decision is often high-stake or with long-term impact.
  • Design AI systems that lead to efficient and reliable outcomes.
  • Write high-quality papers and publish on top-tier OM journals.
  • Work with external organizations to evaluate the methods if needed.
  • In addition to research activities, contribute to lab responsibilities (e.g. teaching, advising master thesis).

Conoscenze

Analytical and modeling skills
Optimization
Mechanism design
Communication skills

Formazione

Master's degree in applied mathematics, economics, operations, or related field

Descrizione del lavoro

ETH Zurich is offering a Doctoral Student position in Design and Analysis of Human-AI Systems. The role is 100% at Zürich, a fixed-term appointment linked to a PhD track.

The starting date is negotiable, with an 18-month initial term and potential extension to four- to five-year duration of the doctorate, subject to progress. The successful candidate will conduct high-impact research, contribute to teaching and mentoring, and collaborate with external organizations to evaluate methods, under ETH

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