374 English-speaking jobs in Delft

This PhD position investigates how automated vehicles can interact safely and inclusively with vulnerable road users using virtual reality technologies. The candidate will develop VR simulators, conduct experiments, and evaluate the effectiveness of inclusive Human-Machine Interfaces.

Develop physics-informed techniques for robotic foundation models. Integrate physical structure from mechanics and dynamical systems into machine learning frameworks. The position is part of the European project GRAIL.

This PhD position at Delft University of Technology focuses on using Virtual Reality to understand how autonomous vehicles can interact safely and inclusively with vulnerable road users. The successful candidate will develop VR simulators, conduct experiments, and evaluate inclusive Human-Machine Interface designs.

Investigate and analyze security incidents, implement corrective measures, and advise on security best practices for warehouse, transportation, and monitoring center operations. Develop and execute security training programs and conduct audits to identify risks and improve security awareness.

Lead the development of back-end fabrication and assembly technologies for quantum processors, focusing on flip-chip bonding, contacts reliability, and manufacturability. Develop and coordinate integration test plans and establish scalable integration procedures. Investigate and resolve integration issues.

This PhD project investigates how aerospace materials deform and degrade under cryogenic temperatures and strain rates. The successful candidate will design and conduct optical metrology experiments, analyze data, and contribute to the certification of composite structures.

This PhD position at Delft University of Technology investigates how automated vehicles can safely and effectively interact with vulnerable road users, including people with disabilities. The candidate will develop a theoretical framework, accessible VR simulators, and conduct experiments to understand and improve AV-VRU interactions.

Postdoctoral researcher in machine learning and deep learning, focusing on tabular data, time-series modeling, and transfer learning. PhD in Computer Science, Machine Learning, Data Science, Statistics, or related field required. Strong implementation skills and publication record essential.

PhD position focused on physical modeling of Backward Erosion Piping (BEP), specifically pipe progression and 3D meandering behavior. The project aims to develop advanced digital models to assess the probability and severity of BEP.

Postdoctoral researcher to lead a project investigating the impact of rodent burrowing on dike stability. The role involves numerical modeling and full-scale dike failure experiments. Requires a PhD in a relevant field and experience in slope stability, granular erosion, or groundwater systems. Fluency in English is required.

This PhD position investigates the role of soil spatial variability on backward erosion piping under dikes using the Random Finite Element Method. The research involves developing a 3D RFEM tool, investigating the influence of spatial variability on piping, and developing a reliability-based surrogate model for risk assessments.

PhD position in analysis of partial differential equations (PDEs) at Delft University of Technology. Research focuses on PDEs from structured population dynamics and kinetic theory. The candidate will investigate qualitative and quantitative aspects of these PDEs using mathematical tools from PDE theory, functional analysis, and probability theory.

A Postdoc researcher will develop a theoretical framework for AV-VRU interactions and design inclusive eHMIs. The role involves developing VR simulators, conducting experiments, and publishing research findings. Applicants must hold a PhD in a relevant field and have experience with XR technologies and data analysis.

PhD candidate to develop physics-informed foundation models for robotic manipulation. Work involves developing learning architectures that integrate physical structure from mechanics and dynamical systems into machine learning frameworks. The candidate will be supervised by Dr. Della Santina and work within a collaborative research environment spanning control theory, machine learning, and (soft) robotics.

This fully funded PhD position focuses on battery energy storage for multi-functional traction grids. Research will address challenges related to integrating renewable energy sources, EV chargers, and braking energy recuperation into DC grids. The successful candidate will have a master's degree in Electrical Engineering or a related field, experience with modeling batteries, solar PV systems, or DC grids, and strong power electronics and programming skills.

Develop a novel end-to-end AI framework for soil moisture estimation from raw SAR data onboard satellites. Generate synthetic and real-world datasets, label data, establish validation strategies, and contribute to project reporting and publications.

This experimental PhD position investigates how fluid-rock interactions affect limestone failure behavior and develops monitoring techniques for fluid migration and seismicity. The work involves characterizing limestone, exploring fluid additive effects, and testing monitoring techniques.

This PhD project investigates how aerospace materials deform and degrade under cryogenic temperatures and strain rates. The research aims to develop testing methodologies to observe deformation and damage in these conditions, ultimately contributing to the safe use of hydrogen in aviation.

PhD position using the Random Finite Element Method to investigate the role of soil spatial variability on backward erosion piping under dikes. The research involves developing a 3D RFEM tool, investigating the influence of spatial variability on piping, and developing a reliability-based surrogate model for risk assessments.

Develop, implement, and execute test plans to validate the functionality and performance of SoCs integrating Digital, Analog, and RF components. Collaborate with design, firmware, and software teams to define test requirements and validation plans. Debug and troubleshoot issues during testing, including hardware, firmware, and digital interface issues.