Digital Society Initiative

PhD Student Position: Empowering AI to Explore the Space of Reasons
80 %

We invite you to apply for a four-year full-time PhD position in natural language processing with a highly innovative philosophical grounding. As a PhD student you will contribute to the research project «Empowering AI to Explore the Space of Reasons (Project AIR)» funded by the Digital Society Initiative (DSI) at the University of Zurich and lead by Dr. Reto Gubelmann. The DSI aims to promote cooperation between Zurich's higher education institutions in the field of digitalization and thus to strengthen Zurich as a center of research and business.

About the project
Human belief systems are made up of networks of claims that are connected by logical relationships of entailment and contradiction – the so-called space of reasons. Recent developments in natural language processing and the philosophy of language have opened a unique window of opportunity to explore this space of reasons. Project AIR seizes this opportunity, aiming to develop a novel hybrid method in natural language inference to build a data-grounded representation of this space of reasons. Following a radically open approach and building on aesthetic insights, the project will develop an interface to allow the general public to interact with (and thereby keep updated) our representation of the space of reasons. The specific PhD research topic will be determined based on the candidate's interests and expertise, in consultation with the supervisory team.

Your responsibilities

Your profile

What we offer

Place of work

Rämistrasse 69, 8001 Zürich, Switzerland

Start of employment

Starting date: upon agreement (ideally 1st of August 2024)
Please submit your application by the 30 April 2024.
Your application should include: your CV, motivation letter (specify your research interests and how they relate to the topic of the research project), academic record (include additional education or coursework if applicable), contact information of two references and a writing sample (a paper or chapter from your Master's thesis).

Further information