144 physics scholarships at Delft University of Technology in Netherlands

PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale

simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data together in a Digital Twin

PhD Position Satellite-derived Bathymetry using Physics-informed Machine Learning

Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry

PhD position on process analytical technology for synthetic co-cultures

bioprocesses still have. This effort includes quantifying the impact of various process routes as well as creating micro-organisms (or consortia thereof) that can deal with new feed stocks or produce more

PhD - Students Taking Responsibility for their own Learning Process

, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector

PhD Position Atmospheric Turbulence Modelling Using Physics Informed Machine Learning

performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical link performance map. This groundbreaking project comprises two PhD positions and one postdoc position

PhD Position AI for Ultrasound Localization Microscopy

the state of the art, one can rely on physics prior and latest AI techniques to accelerate ULM imaging in 3 dimensions. In this PhD project you will be embedded in a multidisciplinary collaboration

PhD Position Modeling Cellular Deformation

than two spherical daughter vesicles, even though there may still be an energy barrier involved in the actual splitting process. To achieve this goal, we will use a combination of analytical and

PhD Position Data-driven Additive Manufacturing

additive manufacturing. We will work with CEAD who have developed an additive manufacturing process combined with fibre reinforcement to drastically enhance the properties of very large printed structures

PhD Positions Air-Sea Interaction and Wind Stress

. Master's degree in Earth sciences, physics, applied mathematics, engineering, computer science or related disciplines. A strong background in either: ) fluid dynamics and numerical modelling ) satellite

PhD position Quantitative MRI

physics, math, computer science or a related field Highly competitive academic record and outstanding performance at Bachelor’s and Master’s level Good knowledge of written and spoken English Previous