62 Education-"https:"-"https:"-"https:"-"https:" PhD positions at Delft University of Technology (TU Delft)
Sort by
Refine Your Search
-
Help build a needle-free future for dialysis patients. Join TU Delft and LUMC to develop a transcutaneous vascular access, uniting biomaterials, medical technology and clinical nephrology. Job
-
are interested in future wireless communication systems, particularly terrestrial and non-terrestrial networks (TN/NTN), and are motivated to develop expertise in areas such as satellite communications
-
join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
-
are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what
-
smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity
-
and sustainable food production. This project aims to develop innovative, modular and scalable flowmeters that measure both flow and viscosity by ultrasonic surface acoustic wave sensing principles
-
will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
-
and fluctuating electricity prices, the main objective will be to develop a control-oriented model and algorithm to alter the lighting, CO2 dosing, and air circulation that satisfy the crops' needs
-
maintenance and asset management strategies. The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment
-
monitoring train in the Netherlands, the research will examine the relationships between LDV measurements and existing indicators of track quality derived from ABA and TG data, aiming to establish robust