10 phd-for-computational-mechanics PhD positions at Delft University of Technology (TU Delft); Published yesterday
Sort by
Refine Your Search
-
enjoy hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. Job requirements We are seeking an ambitious, hands-on PhD
-
optimizing the recovery of critical raw materials in the hydrometallurgical recycling of Li-ion batteries. As a PhD researcher, you will: Investigate purification and separation methods to understand
-
requirements MSc in Mechanical/Maritime/Aeronautical Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track
-
you like to address this urgent need and develop new methods to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e
-
of the contract is contingent on sufficient progress in the first year to indicate that you will successfully complete your PhD thesis within the next three years. A PhD training programme is part of the agreement
-
such as PFAS and micropollutants. These streams are often released into the environment, posing risks to both people and ecosystems. In this PhD project, you will work on the development and optimization
-
of a vibrational Non-Destructive Testing (NDT) approach that leverage AI to assess metal parts after the printing process. In this PhD position you will combine mechanics, data science, AI, and
-
Help revolutionize one of the world’s most carbon-intensive industries by developing cleaner, hydrogen-based processes for ironmaking. As a PhD researcher at TU Delft, you’ll contribute
-
Join a world-leading research group as a PhD student in Quantum Nanoscience, where you will be working on the cutting edge of quantum charge transport phenomena in biological nanowires. Job
-
volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired