PhD Posities Open ICAI

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: Open – Integration and linking of distributed knowledge fragments
• PhD2.3: Filled – Coordinated knowledge repair, refinement and completion
• PhD2.4: Open – AI-supported text-based knowledge capture
• PhD2.5: Opens soon – 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: Closed – Explainable deep data-driven AI

Lab 4 – REM: Responsible Media Lab

• PhD4.1: Open – Legal aspects of the use of (generative) AI in the media
• PhD4.2: Closed – 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: Closed – Acceptance of radiological AI technology in a clinical setting

Lab 7 – Safeguard: Auditing for Responsible AI Software Systems

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

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

• PhD8.1: Opens soon – AI for decision support in water desalination, recycling and purification
• PhD8.2: Opens soon – AI for power load and renewable energy forecasting in electricity grids
• PhD8.3: Closed – AI for predictive maintenance in water and electricity infrastructure
• PhD8.4: Opens soon – AI for power grid balancing using recommendation-enhanced demand response
• PhD8.5: Opens soon – 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: Opens soon – 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: Closed – 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: Opens soon – Accurate lung cancer diagnosis & staging using AI-based detection and quantification
• PhD11.5: Opens soon – 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: Opens soon – 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: Closed – End-to-end learning for vulnerable plaque features
• PhD15.3: Filled – Optimizing OCT-derived physiological measures
• PhD15.4: Opens soon – Prediction of stent failure
• PhD15.5: Opens soon – AI-driven OCT guidance in coronary revascularization

Lab 16 – HealthyAI

• PhD16.1: Closed – 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: Closed – 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