Doctoral Student in Design and Analysis of Human-AI Systems

Academic Positions; Lavamünd; Vor Ort; EUR 64.000 - 96.000; Vollzeit

Zusammenfassung

ETH Zurich invites applications for a Doctoral Student in Design and Analysis of Human-AI Systems within the Decision Sciences and Analytics group. The role focuses on developing theoretical and empirical insights into human-centered AI systems, including potential lab experiments and collaborations with external organizations.

The candidate should hold a Master’s degree in a related field, demonstrate strong analytical and modeling abilities, and show excellent written and verbal communication

Qualifikationen

• Master’s degree completed in a relevant field (applied mathematics, economics, operations)
• Excellent academic records and motivation for policy-relevant research
• Analytical and modeling skills including optimization and mechanism design
• Excellent verbal and written communication skills
• Industrial experience in AI deployment is a plus

Aufgaben

• Analyze AI systems where decisions are high-stake or have long-term impact
• Design AI systems that yield efficient and reliable outcomes
• Write high-quality papers and publish in top-tier OM journals
• Collaborate with external organizations to evaluate methods
• Contribute to lab responsibilities (teaching, advising master theses)

Kenntnisse

Analytical skills

Modeling skills

Optimization

Mechanism design

Verbal & written communication

Ausbildung

Master's degree in applied mathematics/economics/operations

Jobbeschreibung

Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 22 Dec 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Doctoral Student in Design and Analysis of Human-AI Systems

The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürichis seeking a doctoral studentto study the design and analysis of human-AI systems.This position focuses on the development of AI systemswith an emphasis on understanding and reshaping the role of human. The study context is broad, such as AI for clinical or legaldecisions, AI for learning and education, etc. The research is mainly theoretical, but will be related to empirical study like field/lab experiments when necessary.

• 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 organizationsto evaluate the methodsif needed
• In addition to research activities, they will contribute to lab responsibilities (e.g. teaching,advising master thesis)

Profile

• Hold (or will have completed at the time of appointment) a Master’s degree in applied mathematics, economics, operations, or a closely related field
• Excellent academic records and is motivated to produce high-quality, policy-relevant research
• Have excellent analyticaland modeling skills: optimization, mechanism design, etc
• Have excellent verbal and written communication skills
• Have industrial experience in AI deployment is a plus

We offer

• The starting date is negotiable, but hopefully in six months
• The position is initially offered for 18 months, with the prospect of extension for four- to five-year duration of the doctorate, subject to satisfactory progress
• We offer the opportunity to pursue a high-quality PhD at a renowned institution and to work in a dynamic and collaborative research environment
• Gross salary will be in accordance withthe regulatons of ETH Zurich

Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .Curious? So are we.

Further information about our Departmentcan be found on our Website . Questions regarding the position should be directed to Tu Ni, [e-mail] (no applications orunsolicited outreach).

About ETH ZürichETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.