357 English-speaking jobs in Delft

PhD position in analysis of partial differential equations (PDEs) stemming from structured population dynamics and kinetic theory. The candidate will investigate qualitative and quantitative aspects of PDEs using mathematical tools from PDE theory, functional analysis, and probability theory.

Lead or contribute to the implementation of complex designs on embedded systems. Develop high-complexity, efficient embedded software and execute test plans. Collaborate on projects across hardware and software development teams.

Lead mechanical design and sustaining engineering for new and existing products. Develop concepts, prototypes, and production documentation. Collaborate cross-functionally to ensure robust designs and smooth lifecycle management.

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.

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 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.

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.

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

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.

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.

Senior Mechanical Engineer to design and develop innovative product solutions. Requires Master's in Mechanical Engineering, 5+ years experience, and expertise in SolidWorks. Knowledge of EV charging industry standards and protocols is essential.

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.

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 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.

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.

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 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 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.