PhD Positions

Are you ready to create with purpose? The Innovation Center for Artificial Intelligence is offering you the opportunity to work on real-world challenges with access to real data. Our ultimate goal is to make AI safe and trustworthy for the benefit of everyone. Collaboration is key. Are you in?

Ask yourself what your PhD should be about: Are you eager to gain industry experience? Curious about working with world-leading AI experts? Convinced of the value of shared ownership? We offer all this and a decent salary while expanding your international network. And let’s not forget the joy of discovering the Dutch life.

Join us and meet your fellow best and brightest. Bring us your creativity, persistence, and curiosity. Turn your ideas into a better future. Your next step is our next step to make AI for everyone.

As part of the ROBUST program, we are offering a total of 85 fully funded PhD student positions in 2023, plus another 85 in 2027. The current status of our recruiting for the first group of 85 PhD positions is:

  • Opens soon: 7 positions
  • Currently open: 5 positions
  • Closed: 10 positions
  • Filled: 63 positions

(Last update: September 19, 2023)

Lab 1 – RAIL: Responsible Decision Support for Efficient and Dynamic Railway Systems

  • PhD1.1: Filled – Cooperation between human and AI planners
  • PhD1.2: Filled – Robust planning and resilience
  • PhD1.3: Open – Quickly reacting to changes and disruptions
  • PhD1.4: Filled – Supporting strategic decisions regarding the infrastructure capacity
  • PhD1.5: Filled – Learning from previous situations and producing recognizable plans

Lab 2 – Genius 

  • PhD2.1: Filled – Collaborative knowledge synthesis
  • PhD2.2: Closed – Integration and linking of distributed knowledge fragments
  • PhD2.3: Filled – Coordinated knowledge repair, refinement and completion
  • PhD2.4: Filled – AI-supported text-based knowledge capture
  • PhD2.5: Open – Responsible innovation

Lab 3 – AI-FAIR: AI for Automotive Imaging Radar

  • PhD3.1: Filled – Physics-based deep learning for super-resolution compressive radar
  • PhD3.2: Filled – Deep learning for radar artifact mitigation
  • PhD3.3: Closed – Deep learning for 4D automotive imaging radar collision prediction
  • PhD3.4: Closed – Neural architecture search for 4D Imaging radar networks
  • PhD3.5: Open – Explainable deep data-driven AI

Lab 4 – REM: Responsible Media Lab

  • PhD4.1: Closed – Legal aspects of the use of (generative) AI in the media
  • PhD4.2: Filled – Explaining recommendations
  • PhD4.3: Filled – Synergies between platforms
  • PhD4.4: Filled – Network perspective on content and user behavior
  • PhD4.5: Filled – Generating news content

Lab 5 – ICAI Stroke Lab: From 112 to Rehabilitation

  • PhD5.1: Filled – Pre-interventional stroke data & AI
  • PhD5.2: Filled – Clinical decision support and EVT optimization
  • PhD5.3: Filled – Image-guided intervention
  • PhD5.4: Filled – Rehabilitation
  • PhD5.5: Filled – User acceptance of AI tools

Lab 6 – Trustworthy AI for Magnetic Resonance Imaging

  • PhD6.1: Filled – Trustworthy AI for adaptive and precision MR protocols
  • PhD6.2: Filled – End-to-end deep learning quantitative MR reconstruction
  • PhD6.3: Filled – Trustworthy AI for integrated diagnostics of brain tumors
  • PhD6.4: Filled – Trustworthy AI for improved diagnosis of bone and soft-tissue lesions on MRI
  • PhD6.5: Filled – Acceptance of radiological AI technology in a clinical setting

Lab 7 – Safeguard: Auditing for Responsible AI Software Systems

  • PhD7.1: Filled – Fairness of AI software systems
  • PhD7.2: Filled – Audits for explainability and transparency for AI software
  • PhD7.3: Filled – Auditing responsibility and accountability of AI software systems
  • PhD7.4: Filled – Auditing framework and tool for robust and reliable AI software development
  • PhD7.5: Filled – Testing AI software

Lab 8 – ILUSTRE: Innovation Lab for Utilities on Sustainable Technology and Renewable Energy

  • PhD8.1: Closed – AI for decision support in water desalination, recycling and purification
  • PhD8.2: Filled – AI for power load and renewable energy forecasting in electricity grids
  • PhD8.3: Filled – AI for predictive maintenance in water and electricity infrastructure
  • PhD8.4: Closed – AI for power grid balancing using recommendation-enhanced demand response
  • PhD8.5: Closed – Social support for the real-world introduction of AI in critical infrastructure

Lab 9 – AI4MRI: MRI Made Faster, Cheaper, and Better

  • PhD9.1: Filled – AI-based reconstruction for robust single-contrast MR imaging
  • PhD9.2: Filled – AI-based reconstruction for multi-contrast MR imaging
  • PhD9.3: Filled – AI-based reconstruction for 4D free-breathing cardiac MRI
  • PhD9.4: Opens soon – AI adaptation to new developments in MRI
  • PhD9.5: Filled – Effectiveness of accelerated MR imaging

Lab 10 – AI for Parkinson

  • PhD10.1: Filled – Digital progression biomarkers based on real-life monitoring
  • PhD10.2: Filled – Digital progression biomarkers based on real-life monitoring
  • PhD10.3: Filled – Relationship between clinical and pathophysiological subtypes and PD progression
  • PhD10.4: Opens soon – AI-based video analysis for differential diagnosis
  • PhD10.5: Filled – Trust in AI-based remote monitoring tools for PD research & self-management

Lab 11 – MERAI: MeVis and Radboudumc AI Lab

  • PhD11.1: Filled – AI for automated CT lung screening
  • PhD11.2: Filled – Ethical, legal & societal aspects of automated screening of CT scans
  • PhD11.3: Filled – Automated detection of incidental findings in lung CT
  • PhD11.4: Closed – Accurate lung cancer diagnosis & staging using AI-based detection and quantification
  • PhD11.5: Closed – Artificial intelligence for new modalities in cancer diagnostics

Lab 12 – ASM ICAI Lab: Advanced Semiconductor Manufacturing ICAI Lab

  • PhD12.1: Opens soon – Simulation-based machine learning
  • PhD12.2: Filled – Predictive maintenance
  • PhD12.3: Filled – Adaptive deep learning
  • PhD12.4: Filled – Neuromorphic computing
  • PhD12.5: Opens soon – Trustworthy deep learning

Lab 13 – AI for Energy Grids Lab

  • PhD13.1: Filled – Graph neural networks & reinforcement learning
  • PhD13.2: Filled – State-estimation with AI
  • PhD13.3: Filled – Risk-based investments and operation
  • PhD13.4: Filled – Digital mesh/decentralized control of energy flows
  • PhD13.5: Filled – Responsible & trustworthy AI for distribution system operation

Lab 15 – CARA Lab: Cardiology lab with Abbott, Radboudumc and AmsterdamUMC

  • PhD15.1: Filled – Automated OCT-assessment
  • PhD15.2: Filled – End-to-end learning for vulnerable plaque features
  • PhD15.3: Filled – Optimizing OCT-derived physiological measures
  • PhD15.4: Open – Prediction of stent failure
  • PhD15.5: Opens soon – AI-driven OCT guidance in coronary revascularization

Lab 16 – HealthyAI

  • PhD16.1: Filled – Model-driven AI methods for prostate MRI analysis
  • PhD16.2: Closed – Model-driven AI methods for prostate MRI analysis
  • PhD16.3: Opens soon – Prostate MRI detection AI – Scientific quality management for repeatability and safety
  • PhD16.4: Filled – AI-assisted MRI surveillance of prostate cancer
  • PhD16.5: Opens soon – AI-assisted MR acquisition and steering

Lab 17 – FEPLab: Free Energy Principle Lab 

  • PhD17.1: Filled – Reactive message passing for robust inference
  • PhD17.2: Filled – Reactive message passing for FEP agents
  • PhD17.3: Filled – Generative probabilistic models for audio processing
  • PhD17.4: Open – Generative probabilistic models for covert user interactions
  • PhD17.5: Filled – Interaction design for hearing aid personalization

Lab 18 – TAIM: Trustworthy AI for Media Lab

  • PhD18.1: Filled – Automated subtitling for TV
  • PhD18.2: Filled – Full page personalization
  • PhD18.3: Filled – Synthetic media: Automatic promo material
  • PhD18.4: Filled – Perfect ad position
  • PhD18.5: Filled – Diversity & bias in AI and content