371 English-speaking jobs in Delft

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.

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.

PhD candidate to develop physics-informed foundation models for robotic manipulation within the EU project GRAIL. Will integrate physical structure from mechanics and dynamical systems into machine learning frameworks.

PhD position focusing on the development of sodium-sulfur (Na-S) batteries as a sustainable alternative to lithium-ion batteries. The research involves experimental work on battery concepts, electrochemical testing, and characterization methods. The PhD student will also map the environmental and criticality implications of Na-S battery production at scale within Europe.

PhD candidate to study Backward Erosion Piping (BEP) in dikes using advanced numerical simulations. Responsibilities include evaluating models, assessing particle effects, and studying 3D pipe development. Requires an MSc in a relevant field with competencies in fluid mechanics, computational fluid dynamics, and scientific programming.

Network Devops Engineer Infrastructure automates network services, strengthens digital security, and builds a reliable and innovative campus network. Designs, manages, and automates network services using Infrastructure as Code and GitOps principles. Develops and maintains CI/CD pipelines for infrastructure deployments and automates network management, firewalling, segmentation, monitoring, and capacity management. Collaborates with cloud, security, and compute teams. Requires proven knowledge of networking, experience with Infrastructure as Code (Terraform, Ansible, Git, NetBox), automation and scripting (Python, Bash), CI/CD pipelines, monitoring tools (Nagios), network segmentation, firewalling, and security best practices.

Designs, implements, and verifies AOCS algorithms, sensors, and actuators for satellite missions. Develops control algorithms, simulation code, and hardware. Collaborates with system engineers and supports satellite test campaigns. Requires a master's degree in a relevant field and 4-5 years of experience in AOCS or GNC.

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.

Cloud & Data Engineer will advise on architectures for data- and compute-intensive applications in a hybrid/multi-cloud environment. Responsibilities include supporting the design and implementation of data pipelines, helping build prototypes into reusable solutions, and assisting with data governance and AI governance. Requires HBO+/WO level of education, 3-5 years of experience in data engineering, strong Python skills, and experience with cloud platforms.

System Engineer to shape complex product development projects, applying systems engineering methods and guiding multidisciplinary teams.

Business Controller to support functions (HR, CFO) and assist in Group controlling activities. Responsibilities include strategic and financial planning, analysis, reporting, and (KPI) steering. Requires 4-6 years experience in a Business Control role, strong Excel skills, and the ability to analyze data and present findings.

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.

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.

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 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.

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.

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.

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.

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.