57 computational-mechanics scholarships at Delft University of Technology in Netherlands

PhD Position Machine Learning-driven Modeling of Metallic Microstructures

Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable

PhD position Direct Numerical Simulation of Electrochemical Bubbles

Fundamental Insights in Bubble Detachment Mechanics to Develop Micro-Structured Electrodes Challenge: Improve the efficiency of hydrogen production. Change: Develop advanced numerical techniques

PhD Position Thermo-Mechanical Methods of Recycling Fine Aggregates - Recovery of Clean Sand and Cement Paste Rich Powder

Thermo-mechanical methods of recycling fine aggregates - recovery of clean sand and cement paste rich powder. We are seeking for a highly motivated PhD candidate to join our research team

PhD Position on Systems and Control for Human-entered Social Systems

control, applied mathematics, mechanical engineering, electrical engineering, robotics, computer science, or a related field, and a strong background or interest in human-robot interaction, optimization

2 PhD Positions on The Delft Laminar Hump

the project. PhD position 2: will explore the experimental design and testing of laminar hump models and undertake advanced flow measurements to characterise the underlying transition mechanisms. The candidate

PhD Position in Biocatalysis - Evolving Enzymes for New Chemistry

enzymes that can facilitate new reactions that were previously not known in nature. To this end we will adapt existing enzyme architectures (i.e. naturally occurring cofactors and catalytic machinery

PhD Position Autonomous Reasoning on Robots Operating in the Real, Open World

, Artificial Intelligence, Computer Science, Mechanical/Electrical Engineering or Applied Mathematics (or related). Interest in robotics, artificial intelligence and data science. Demonstrable experience in

PhD Position Autonomous Planning on Task Execution for Robots Operating in the Real, Open World

of the University of Amsterdam (Prof. Cees Snoek). Need to haves: Graduated in one of these fields: System and Controls, Artificial Intelligence, Mechanical/Electrical Engineering, Robotics, or Applied Mathematics

PhD Position Acoustic Perception for Intelligent Vehicles

for at least one application. The novel methods will only need to support the selected ADAS applications and should not extract more information than needed. By aiming for minimal hardware and computational

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

nonlinear continuum mechanics, finite element analysis, cardiovascular modeling, computational (soft tissue) biomechanics, cardiovascular (patho)physiology is appreciated. You have an excellent master’s