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PhD Fellowship in Learning while Searching in Symbolic Planners

Join an international PhD programme to advance AI symbolic planning through adaptive heuristic functions.

Best for:Best for computer science graduates with a strong interest in AI planning, heuristic search, and machine learning.

Czech Technical University in Prague · Prague, Czech Republic · R1 · First-stage researcher
More professors at Czech Technical University in Prague
Artificial IntelligenceSymbolic PlanningHeuristic SearchNeural NetworksMachine Learning
Deadline
Dec 3, 2026
49 days
Funding
Salaried
48 months
Start date
2027-02-01
Fixed-term
Location
Prague
Czech Republic

Overview

The Czech Technical University in Prague is recruiting a PhD student for the PICTUS Fellowship Programme to work on symbolic search in large state spaces. The project focuses on developing adaptive heuristic functions for AI planners that learn from visited states during the search process, aiming to improve generalization and performance. The successful candidate will work within the Department of Computer Science and participate in a secondment at Linköping University. This is a 48-month full-time position that requires the candidate to develop their own research proposal based on the provided project topics.

PhDAISymbolic PlanningHeuristic FunctionPICTUSHorizon EuropeMSCA

What you'll do

  • Conduct original research on adaptive heuristic functions for symbolic planners.
  • Develop and implement algorithms to improve search efficiency in large state spaces.
  • Collaborate with international partners during a research secondment at Linköping University.
  • Prepare and publish research findings in high-impact academic venues.
  • Participate in the PICTUS PhD programme coursework and training activities.
  • Contribute to the development of planning systems that outperform state-of-the-art benchmarks.

Requirements

Degree required: Master's degree or equivalent in Computer Science or a related field.

Degree offered: PhD

Language: English; good proficiency required.

Instruction: English

Required skills
  • Strong background in artificial intelligence and search algorithms.
  • Proficiency in programming languages relevant to AI research.
  • Understanding of neural networks and their application in heuristic functions.
  • Ability to conduct independent research and formulate research proposals.
Nice to have
Experience with symbolic planning or automated reasoning.Familiarity with machine learning frameworks.Previous research experience in AI or related domains.
Eligibility
  • Must meet the eligibility criteria for the PICTUS PhD Fellowship Programme.
  • Must be able to commit to a 48-month full-time contract.

Funding & terms

Type
Salaried
Amount
—
Duration
48 months
Programme
Horizon Europe - MSCA
EU-FUNDEDEuropean Commission

How to apply

Deadline: 2026-12-03 (Europe/Brussels)

Candidates must prepare a research proposal based on the provided list of topics. Applications must be submitted via the dedicated electronic form provided by the PICTUS programme. Ensure all required documents are uploaded as specified in the Guide for Applicants.

Documents required
  • Research proposal
  • CV
  • Academic transcripts
↗Apply via form

Contact

JS
Prof.
Jendrik Seipp
Department of Computer Science
Lab
Faculty of Electrical Engineering
Czech Technical University in Prague
Horizon Europe - MSCACzech Republic
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