{"id":687,"date":"2023-08-09T19:13:40","date_gmt":"2023-08-09T19:13:40","guid":{"rendered":"https:\/\/amsterdamai.com\/?post_type=nieuws&#038;p=687"},"modified":"2025-08-04T19:17:08","modified_gmt":"2025-08-04T19:17:08","slug":"phd-posities-open-icai","status":"publish","type":"nieuws","link":"https:\/\/amsterdamai.com\/nl\/nieuws\/phd-posities-open-icai\/","title":{"rendered":"PhD Posities Open ICAI"},"featured_media":650,"template":"","meta":{"nieuws-one-liner":"","introductie":"<p>Het Innovation Center for Artificial Intelligence biedt je de mogelijkheid om te werken aan real-world uitdagingen met toegang tot echte data. Ons uiteindelijke doel is om AI veilig en betrouwbaar te maken in het voordeel van iedereen. Samenwerking staat centraal. Doe je mee?<\/p>\n","nieuwsbericht":"<p>Meld je <a href=\"https:\/\/icai.ai\/jobs\/?utm_source=mailpoet&amp;utm_medium=email&amp;utm_campaign=newsletter-june-2023\" target=\"_blank\" rel=\"noopener\">hier<\/a> aan! Als onderdeel van het ROBUST-programma bieden we in 2023 in totaal 85 volledig gefinancierde PhD-studentposities aan, plus nog eens 85 in 2027. De huidige status van onze werving voor de eerste groep van 85 PhD-posities is:<br \/>\n<strong>Opens soon:<\/strong> 17 positions<br \/>\n<strong>Currently open:<\/strong> 9 positions<br \/>\n<strong>Closed:<\/strong> 12 positions<br \/>\n<strong>Filled:<\/strong> 47 positions<br \/>\n(Last update: July 18, 2023)<\/p>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/rail\/\">Lab 1 \u2013 RAIL: Responsible Decision Support for Efficient and Dynamic Railway Systems<\/a><\/p>\n<ul>\n<li>PhD1.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Cooperation between human and AI planners<\/li>\n<li>PhD1.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Robust planning and resilience<\/li>\n<li>PhD1.3:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.tudelft.nl\/over-tu-delft\/werken-bij-tu-delft\/vacatures\/details\/?nPostingId=4708&amp;nPostingTargetId=13391&amp;id=QEZFK026203F3VBQBLO6G68W9&amp;LG=UK&amp;languageSelect=UK&amp;mask=external\">Quickly reacting to changes and disruptions<\/a><\/li>\n<li>PhD1.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>Supporting strategic decisions regarding the infrastructure capacity<\/li>\n<li>PhD1.5:\u00a0<strong>Filled \u2013\u00a0<\/strong>Learning from previous situations and producing recognizable plans<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/troika\/\">Lab 2 \u2013 Genius\u00a0<\/a><\/p>\n<ul>\n<li>PhD2.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Collaborative knowledge synthesis<\/li>\n<li>PhD2.2:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.academictransfer.com\/en\/330013\/phd-in-integration-of-distributed-heterogeneous-data-and-knowledge-to-enable-trustworthy-ai\/\">Integration and linking of distributed knowledge fragments<\/a><\/li>\n<li>PhD2.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Coordinated knowledge repair, refinement and completion<\/li>\n<li>PhD2.4:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.academictransfer.com\/en\/329775\/phd-in-trustworthy-conversational-ai-using-fair-data-and-services\/\">AI-supported text-based knowledge capture<\/a><\/li>\n<li>PhD2.5:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Responsible innovation<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/ai-fair\/\">Lab 3 \u2013 AI-FAIR: AI for Automotive Imaging Radar<\/a><\/p>\n<ul>\n<li>PhD3.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Physics-based deep learning for super-resolution compressive radar<\/li>\n<li>PhD3.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Deep learning for radar artifact mitigation<\/li>\n<li>PhD3.3:\u00a0<strong>Closed \u2013\u00a0<\/strong>Deep learning for 4D automotive imaging radar collision prediction<\/li>\n<li>PhD3.4:\u00a0<strong>Closed \u2013\u00a0<\/strong>Neural architecture search for 4D Imaging radar networks<\/li>\n<li>PhD3.5:\u00a0<strong>Closed \u2013\u00a0<\/strong>Explainable deep data-driven AI<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/rem\/\">Lab 4 \u2013 REM: Responsible Media Lab<\/a><\/p>\n<ul>\n<li>PhD4.1:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/vacatures.uva.nl\/UvA\/job\/PhD-Candidate-in-Legal-Aspects-of-the-use-of-%28generative%29-AI-in-the-media\/775236102\/\">Legal aspects of the use of (generative) AI in the media<\/a><\/li>\n<li>PhD4.2:\u00a0<strong>Closed \u2013\u00a0<\/strong>Explaining recommendations<\/li>\n<li>PhD4.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Synergies between platforms<\/li>\n<li>PhD4.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>Network perspective on content and user behavior<\/li>\n<li>PhD4.5:\u00a0<strong>Filled \u2013\u00a0<\/strong>Generating news content<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/stroke\/\">Lab 5 \u2013 ICAI Stroke Lab: From 112 to Rehabilitation<\/a><\/p>\n<ul>\n<li>PhD5.1:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>Pre-interventional stroke data &amp; AI<\/li>\n<li>PhD5.2:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>Clinical decision support and EVT optimization<\/li>\n<li>PhD5.3:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>Image-guided intervention<\/li>\n<li>PhD5.4:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>Rehabilitation<\/li>\n<li>PhD5.5:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>User acceptance of AI tools<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/trustworthy-ai-for-mri\/\">Lab 6 \u2013 Trustworthy AI for Magnetic Resonance Imaging<\/a><\/p>\n<ul>\n<li>PhD6.1:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>Trustworthy AI for adaptive and precision MR protocols<\/li>\n<li>PhD6.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>End-to-end deep learning quantitative MR reconstruction<\/li>\n<li>PhD6.3:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>Trustworthy AI for integrated diagnostics of brain tumors<\/li>\n<li>PhD6.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>Trustworthy AI for improved diagnosis of bone and soft-tissue lesions on MRI<\/li>\n<li>PhD6.5:\u00a0<strong>Closed \u2013\u00a0<\/strong>Acceptance of radiological AI technology in a clinical setting<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/safeguard\/\">Lab 7 \u2013 Safeguard: Auditing for Responsible AI Software Systems<\/a><\/p>\n<ul>\n<li>PhD7.1:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.jads.nl\/vacancies\/phd-safeguard-fairness-ai\/\">Fairness of AI software systems<\/a><\/li>\n<li>PhD7.2:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.jads.nl\/vacancies\/phd-explainability-transparency\/\">Audits for explainability and transparency for AI software<\/a><\/li>\n<li>PhD7.3:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.jads.nl\/vacancies\/phd-responsibility-accountability\/\">Auditing responsibility and accountability of AI software systems<\/a><\/li>\n<li>PhD7.4:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.jads.nl\/vacancies\/phd-framework-tool\/\">Auditing framework and tool for robust and reliable AI software development<\/a><\/li>\n<li>PhD7.5:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/www.jads.nl\/vacancies\/phd-software-testing\/\">Testing AI software<\/a><\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/ilustre\/\">Lab 8 \u2013 ILUSTRE: Innovation Lab for Utilities on Sustainable Technology and Renewable Energy<\/a><\/p>\n<ul>\n<li>PhD8.1:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI for decision support in water desalination, recycling and purification<\/li>\n<li>PhD8.2:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI for power load and renewable energy forecasting in electricity grids<\/li>\n<li>PhD8.3:\u00a0<strong>Closed\u00a0\u2013\u00a0<\/strong>AI for predictive maintenance in water and electricity infrastructure<\/li>\n<li>PhD8.4:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI for power grid balancing using recommendation-enhanced demand response<\/li>\n<li>PhD8.5:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Social support for the real-world introduction of AI in critical infrastructure<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/ai4mri\/\">Lab 9 \u2013 AI4MRI: MRI Made Faster, Cheaper, and Better<\/a><\/p>\n<ul>\n<li>PhD9.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>AI-based reconstruction for robust single-contrast MR imaging<\/li>\n<li>PhD9.2:\u00a0<strong>Filled<\/strong><strong>\u00a0\u2013\u00a0<\/strong>AI-based reconstruction for multi-contrast MR imaging<\/li>\n<li>PhD9.3:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI-based reconstruction for 4D free-breathing cardiac MRI<\/li>\n<li>PhD9.4:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI adaptation to new developments in MRI<\/li>\n<li>PhD9.5:\u00a0<strong>Filled \u2013\u00a0<\/strong>Effectiveness of accelerated MR imaging<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/ai-for-parkinson\/\">Lab 10 \u2013 AI for Parkinson<\/a><\/p>\n<ul>\n<li>PhD10.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Digital progression biomarkers based on real-life monitoring<\/li>\n<li>PhD10.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Digital progression biomarkers based on real-life monitoring<\/li>\n<li>PhD10.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Relationship between clinical and pathophysiological subtypes and PD progression<\/li>\n<li>PhD10.4:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI-based video analysis for differential diagnosis<\/li>\n<li>PhD10.5:\u00a0<strong>Closed \u2013\u00a0<\/strong>Trust in AI-based remote monitoring tools for PD research &amp; self-management<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/merai\/\">Lab 11 \u2013 MERAI: MeVis and Radboudumc AI Lab<\/a><\/p>\n<ul>\n<li>PhD11.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>AI for automated CT lung screening<\/li>\n<li>PhD11.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Ethical, legal &amp; societal aspects of automated screening of CT scans<\/li>\n<li>PhD11.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Automated detection of incidental findings in lung CT<\/li>\n<li>PhD11.4:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Accurate lung cancer diagnosis &amp; staging using AI-based detection and quantification<\/li>\n<li>PhD11.5:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Artificial intelligence for new modalities in cancer diagnostics<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/asmpt\/\">Lab 12 \u2013 ASM ICAI Lab: Advanced Semiconductor Manufacturing ICAI Lab<\/a><\/p>\n<ul>\n<li>PhD12.1:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Simulation-based machine learning<\/li>\n<li>PhD12.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Predictive maintenance<\/li>\n<li>PhD12.3:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Adaptive deep learning<\/li>\n<li>PhD12.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>Neuromorphic computing<\/li>\n<li>PhD12.5:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Trustworthy deep learning<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/ai-for-energy-grids\/\">Lab 13 \u2013 AI for Energy Grids Lab<\/a><\/p>\n<ul>\n<li>PhD13.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Graph neural networks &amp; reinforcement learning<\/li>\n<li>PhD13.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>State-estimation with AI<\/li>\n<li>PhD13.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Risk-based investments and operation<\/li>\n<li>PhD13.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>Digital mesh\/decentralized control of energy flows<\/li>\n<li>PhD13.5:\u00a0<strong>Filled \u2013\u00a0<\/strong>Responsible &amp; trustworthy AI for distribution system operation<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/cara\/\">Lab 15 \u2013 CARA Lab: Cardiology lab with Abbott, Radboudumc and AmsterdamUMC<\/a><\/p>\n<ul>\n<li>PhD15.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Automated OCT-assessment<\/li>\n<li>PhD15.2:\u00a0<strong>Closed \u2013\u00a0<\/strong>End-to-end learning for vulnerable plaque features<\/li>\n<li>PhD15.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Optimizing OCT-derived physiological measures<\/li>\n<li>PhD15.4:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Prediction of stent failure<\/li>\n<li>PhD15.5:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI-driven OCT guidance in coronary revascularization<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/healthyai\/\">Lab 16 \u2013 HealthyAI<\/a><\/p>\n<ul>\n<li>PhD16.1:\u00a0<strong>Closed\u00a0\u2013\u00a0<\/strong>Model-driven AI methods for prostate MRI analysis<\/li>\n<li>PhD16.2:\u00a0<strong>Closed\u00a0\u2013\u00a0<\/strong>Model-driven AI methods for prostate MRI analysis<\/li>\n<li>PhD16.3:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>Prostate MRI detection AI \u2013 Scientific quality management for repeatability and safety<\/li>\n<li>PhD16.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>AI-assisted MRI surveillance of prostate cancer<\/li>\n<li>PhD16.5:\u00a0<strong>Opens soon \u2013\u00a0<\/strong>AI-assisted MR acquisition and steering<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/feplab\/\">Lab 17 \u2013 FEPLab: Free Energy Principle Lab\u00a0<\/a><\/p>\n<ul>\n<li>PhD17.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Reactive message passing for robust inference<\/li>\n<li>PhD17.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Reactive message passing for FEP agents<\/li>\n<li>PhD17.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Generative probabilistic models for audio processing<\/li>\n<li>PhD17.4:\u00a0<strong>Open \u2013\u00a0<\/strong><a href=\"https:\/\/jobs.tue.nl\/en\/vacancy\/phd-on-probabilistic-programming-for-realtime-ai-agents-1012033.html\">Generative probabilistic models for covert user interactions<\/a><\/li>\n<li>PhD17.5:\u00a0<strong>Closed \u2013\u00a0<\/strong>Interaction design for hearing aid personalization<\/li>\n<\/ul>\n<p><a href=\"https:\/\/icai.ai\/icai-labs\/taim\/\">Lab 18 \u2013 TAIM: Trustworthy AI for Media Lab<\/a><\/p>\n<ul>\n<li>PhD18.1:\u00a0<strong>Filled \u2013\u00a0<\/strong>Automated subtitling for TV<\/li>\n<li>PhD18.2:\u00a0<strong>Filled \u2013\u00a0<\/strong>Full page personalization<\/li>\n<li>PhD18.3:\u00a0<strong>Filled \u2013\u00a0<\/strong>Synthetic media: Automatic promo material<\/li>\n<li>PhD18.4:\u00a0<strong>Filled \u2013\u00a0<\/strong>Perfect ad position<\/li>\n<li>PhD18.5:\u00a0<strong>Filled \u2013\u00a0<\/strong>Diversity &amp; bias in AI and content<\/li>\n<\/ul>\n","text_externe_bron":"","link_externe_bron":"","referentie":""},"nieuws-tax":[],"class_list":["post-687","nieuws","type-nieuws","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/amsterdamai.com\/nl\/wp-json\/wp\/v2\/nieuws\/687","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/amsterdamai.com\/nl\/wp-json\/wp\/v2\/nieuws"}],"about":[{"href":"https:\/\/amsterdamai.com\/nl\/wp-json\/wp\/v2\/types\/nieuws"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/amsterdamai.com\/nl\/wp-json\/wp\/v2\/media\/650"}],"wp:attachment":[{"href":"https:\/\/amsterdamai.com\/nl\/wp-json\/wp\/v2\/media?parent=687"}],"wp:term":[{"taxonomy":"nieuws-tax","embeddable":true,"href":"https:\/\/amsterdamai.com\/nl\/wp-json\/wp\/v2\/nieuws-tax?post=687"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}