137 physical-education PhD positions at Delft University of Technology in Netherlands

PhD Position on Characterization of Heat Transfer during Heating of Thermoplastic Cut Tapes

Join the team that will develop breakthrough technologies for ultra-efficient aircraft development! To achieve significant progress in producing sustainable aircrafts in the future, the advancement

PhD Position Computational Fluid Dynamics of Microplastics

develop high-resolution simulations to investigate numerically the interaction of model fibers with the complex geometry of mesh-based filters.  The simulations will initially focus on single fibers

PhD position Environmental Biotechnology

to resolve the function of dominant community members, explore how process control parameters affects these microbial community members and evaluate their metabolic interactions. You will run bioreactors

PhD Position – Quantum Sensing with Levitated Particles

Challenge: Realize the potential of quantum technologies Change: Develop quantum sensors using levitated systems Impact: Improve mechanical sensors and deepen our understanding of gravity Quantum

PhD Position on Multiscale Modelling of Manufacturing of Composite Aerostructures with Short Thermoplastic Tapes

Join the team that will develop breakthrough technologies for ultra-efficient aircraft development! To achieve significant progress in producing sustainable aircrafts in the future, the advancement

4 PhD positions in Aerodynamic Performance Assesment and Enhancement of Flettner Rotors for Wind Assisted Ship Propulsion

of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click here for more information. You can apply online. We will not process applications sent by email and/or post

PhD position - CO2 Electochemical Conversion to Alcohols on Molecular Catalysts

carbon source, and to develop technologies that can convert CO2 into valuable compounds such as carbon monoxide, ethylene and ethanol. Within the e-Refinery Institute at TU Delft, we’re working

PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins

to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust

PhD Position The Potential of Climate Interventions in Complex Cloud Systems

into account adequately in models. Therefore, we will work with traditional parameterizations for cloud microphysics, but also explore how physics-enhanced machine learning can help us to develop new ways

PhD Position Enhacing Security of Joint Communication and Sensing via Explainable ML

security analysis of JCAS systems, emphasizing novel attack vectors leveraging network sensing capabilities, develop efficient security measures to counter adversarial attacks, and assess these mechanisms