PhD Student in Algorithmic Foundations of AI-Assisted Consensus and Ranking at KTH (WASP)

Application ends: September 29, 2026
Apply Now

Job Description

KTH is recruiting a PhD student to develop algorithms that select and rank online content by crowd consensus, using only interaction data and no editorial discretion, drawing on axiomatic methods, social choice theory and human-AI collaboration. The position is funded by WASP.

At a glance

  • Position: PhD student (1 post), Computer Science
  • Supervisor and contact: Professor Aristides Gionis, argioni@kth.se
  • Funding: Wallenberg AI, Autonomous Systems and Software Program (WASP)
  • Reference: PA-2026-3057
  • Apply: 29 September 2026, midnight CET/CEST

About the doctoral project

  • Develop algorithms that select and rank content by crowd consensus, as an alternative to classifiers trained on contested value judgments
  • Use only interaction data, without editorial discretion
  • Build on axiomatic approaches, social choice theory and human-AI collaboration
  • Take part in the WASP graduate school’s courses, research visits and network

Swedish doctoral positions are salaried jobs rather than scholarships: you are employed by the university, take doctoral courses, do research with a supervisor, and may teach up to a fifth of the time.

The position is funded by WASP, the Wallenberg AI, Autonomous Systems and Software Program, whose graduate school offers research visits, partner universities and a strong international network.

What KTH is looking for

  • Basic eligibility for doctoral studies: a second-cycle (master’s) degree, or at least 240 higher education credits including 60 at second-cycle level, or equivalent knowledge
  • English equivalent to English B/6 (mandatory)
  • A Master of Science (held or about to be received) in computer science, machine learning, AI, data science or a related area
  • Strong academic credentials, shown by excellent coursework or relevant projects

Nice to have

  • A strong mathematical background (the posting invites candidates with one)

Pay and location

Monthly salary under KTH’s doctoral student salary agreement; the posting gives no figure. Employment is renewed in steps (first up to one year, then up to two years at a time) for a total of up to four years of full-time doctoral education. The position is in Stockholm, Sweden.

How to apply

Apply through the official KTH page. The closing date is 29 September 2026, midnight CET/CEST. Apply for the position and admission through KTH’s recruitment system using the link on the official posting. The application must include copies of diplomas and grades and proof of meeting the English requirement (copies of originals must be certified, with translations into English or Swedish where needed), a CV, an application letter of at most two pages on why you want to do research and how it relates to your studies and goals, and representative publications or technical reports (for long documents, an abstract plus a web link). Applications must arrive by midnight CET/CEST on the closing date.

See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.

Hiring institution: KTH Royal Institute of Technology

Official advertisement: kth.varbi.com

How to prepare for this application

  • Social choice: revise voting rules, Arrow's theorem and axiomatic characterisations.
  • Ranking algorithms: know PageRank-style and learning-to-rank methods and their manipulation risks.
  • Content moderation context: read about community-notes style consensus systems.
  • Maths: highlight proofs and theory courses you have done.
  • Deadline: it closes on 29 September 2026.

About KTH

KTH Royal Institute of Technology in Stockholm, founded in 1827, is Sweden's largest technical university. In Sweden, doctoral students are employed with a monthly salary under a collective agreement; the doctorate corresponds to four years of full-time study, and up to 20% of working time may go to teaching or other departmental duties.

We send one confirmation email first. Every alert has an unsubscribe link.