Doctoral Student in Design and Analysis of Human-AI Systems

ETH Zurich; Zürich; On-site; CHF 60,000 - 85,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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).

Skills

Analytical and modeling skills

Optimization

Mechanism design

Communication skills

Education

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

Job description

Doctoral Student in Design and Analysis of Human-AI Systems

100%, Zurich, fixed-term

Job description

• 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, 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 analytical and 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 with the regulatons of ETH Zurich

We value diversity and sustainability

In 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 Department can be found on our Website.

Questions regarding the position should be directed to Tu Ni, [e-mail] (no applications or unsolicited outreach).

About ETH Zürich

ETH 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.