Post by PhDScanner

🎓 Fully Funded PhD in 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗳𝗼𝗿 𝗠𝘂𝗹𝘁𝗶-𝗦𝗼𝘂𝗿𝗰𝗲 𝗠𝗶𝗰𝗿𝗼𝗺𝗼𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝗮𝗳𝗲𝘁𝘆 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (Netherlands 🇳🇱) 💶 Fully funded 4️⃣-year PhD position with a salary ranging from €3,059 – €3,881/month + excellent benefits at Delft University of Technology ✅ Passionate about #ArtificialIntelligence #DataScience #MachineLearning #Transportation #SmartMobility 🤖📊🚲 ✅ Highly recommend this cutting-edge #FullyFunded #PhDPosition at the TU Delft | Civil Engineering and Geosciences, Delft University of Technology 🇳🇱 📌 This #PhDProject focuses on developing explainable AI models and advanced data integration methods to understand, predict, and prevent micromobility safety risks in urban environments. The research is part of the EU-funded SAFE MOVE project, helping cities design safer and more sustainable streets. You’ll work on: 🔷 Integrating diverse mobility datasets, including crash records, shared micromobility traces, onboard sensors, traffic cameras, and citizen reports 🔷 Developing explainable AI models to understand how micromobility risks emerge and evolve 🔷 Designing algorithms to detect safety risks, identify unsafe behaviours, and predict emerging hazards 🔷 Investigating interactions between infrastructure, user behaviour, and urban mobility systems 🔷 Quantifying uncertainty in AI predictions to support reliable real-world decision-making 🔷 Validating models using XR experiments and pilot city sensor networks 🌍 Contribute to creating safer, smarter, and more sustainable cities by advancing AI-driven mobility safety analytics and supporting evidence-based transport policies across Europe. ✅ Work with Dr. Yan Feng within the Mobility in eXtended Reality (MXR) Lab and the Urban Mobility Observatory (UMO) Lab at TU Delft, collaborating with leading European researchers and city partners including Amsterdam. 🎯 Ideal for candidates with backgrounds in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Transportation Engineering, or related disciplines. ⭐ Experience in Python, machine learning, data platforms, mobility analytics, transportation research, or road safety is advantageous but not essential. ⏰ 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 𝟭𝟵𝘁𝗵 𝗝𝘂𝗹𝘆, 𝟮𝟬𝟮𝟲 👉 Full details & apply here: 🔗 https://lnkd.in/eVAPsWWk 📩 Want more PhD opportunities like this? ➕ Follow PhDScanner and join WhatsApp for updates: https://lnkd.in/gxkrm5Ct 🌐 Visit: www.phdscanner.com #FullyFundedPhD #PhDPosition #PhDScanner #TUdelft #Netherlands #ArtificialIntelligence #DataScience #MachineLearning #SmartMobility #Transportation #UrbanMobility #RoadSafety #ExplainableAI #XR #MobilityAnalytics #ResearchOpportunity ♻️ Share with someone applying this cycle