259 English-speaking jobs in Delft

Develop a new generation of traffic prediction methods by combining traffic flow theory with machine learning. Integrate hybrid traffic models and data assimilation methods into a prediction framework. Design visualizations to support decision-making by traffic operators. Collaborate with road authorities and industry partners to test and validate methods in real-world use cases. Mentor PhD candidates and shape the scientific direction of the project.

Develop a new generation of traffic prediction methods by combining traffic flow theory with machine learning. Integrate hybrid traffic models and data assimilation methods into a prediction framework. Design visualizations to support decision-making by traffic operators. Collaborate with road authorities and industry partners to test and validate methods in real-world use cases. Mentor PhD candidates and shape the scientific direction of the project.

Two PhD positions are available at TU Delft to develop new traffic prediction methods by combining traffic flow theory with machine learning. PhD Position 1 focuses on hybrid traffic flow modeling using Physics-Informed Neural Networks (PINNs) and machine-learning-enhanced traffic models. PhD Position 2 focuses on data assimilation and network state estimation, combining machine learning with traffic flow theory to improve prediction reliability and robustness.

Develop next-generation hybrid traffic flow models combining traffic theory with machine learning. Investigate Physics-Informed Neural Networks (PINNs) and related approaches for network-wide traffic prediction.

Senior Scientist specializing in Performance Modeling, Graphs, Formulation, and AI to develop predictive models across food, perfumery, beauty, and health. Requires expertise in graph data science, ML modeling, and production quality Python code. Strong communication skills to translate model outputs for non-technical stakeholders.

Senior Process Engineer to translate quantum device research into repeatable, high-yielding processes in a fabrication facility. Responsibilities include tool qualification (SAT) and end-to-end process transfer from R&D to kilofab. Requires relevant engineering background and cleanroom experience.

Lead the development of back-end fabrication and assembly technologies for quantum processors, focusing on flip chip bonding, contacts reliability, and manufacturability. Develop integration test plans, define assembly-centric fabrication processes, and investigate integration issues.

Procurement Excellence Manager will centralize purchase orders and contracts, manage supplier optimization and risk mitigation, and establish an ERP system.

Senior Systems Integration Engineer / Tech Lead will architect and lead the integration of detection, tracking, command-and-control, and effector subsystems into a deployable C-UAS system. Responsibilities include defining interfaces, message buses, and data models, driving sensor fusion and track management, and setting the technical direction for integration. Requires 5+ years of experience integrating complex systems, ideally C-UAS or IAMD, with proven experience in system integration, sensor fusion, and decision-making/effector cueing.

Lead and deliver technical projects for international customers, ensuring on-time, on-budget completion. Manage project risks, communicate with stakeholders, and mentor security analyst teams.

Research Software Engineer will collaborate with researchers on diverse projects, developing and implementing software solutions. Must have a Master or PhD in a relevant field and fluency in one or more programming languages commonly used in research. Experience with web applications, interactive visualizations, and software development best practices is preferred.

Fabrication & Test Engineers will develop and improve fabrication processes for cryogenic electronics. Responsibilities include running experiments, fabricating circuits, and troubleshooting issues. An HBO degree in a related engineering field is required.

TU Delft seeks an Associate Professor to lead a world-class research program in advanced packaging and heterogeneous integration. The successful candidate will develop and secure funding for research, collaborate with industry and research institutes, and contribute to education. Expertise in areas such as chiplet architectures, 3D integration, and thermal management is required. A PhD in a relevant field and a strong international research track record are essential.

Represent Keysight in the technical pre-sales phase, supporting customers in defining and deploying Device Security laboratory setups. Provide technical expertise on SCA and FI hardware solutions, demonstrating capabilities and assisting with lab setup design. Collaborate with sales teams, product development, and customers to ensure successful project execution.

FP&A Manager to lead financial planning, analysis, and business partnering for a fast-growing deep technology company. Develop financial models, partner with cross-functional teams, and ensure financial planning aligns with IFRS reporting requirements.

Develop and manage production schedules, coordinate with production teams, and monitor KPIs. Analyze production performance, identify risks, and implement solutions to improve planning processes.

Graduation internship within buildings, infrastructure, or hydraulic structures. Join a team of 15+ colleagues in the Reliable Structures department at TNO. Conduct research on topics such as probabilistic design, soil subsidence, or fatigue & fracture mechanics.

Lead and deliver technical projects for international customers, managing security evaluations within budget and quality standards. Manage project risks, communicate with customers, and mentor security analyst teams.

Support cutting-edge AI and computer science research by building, maintaining, and improving specialized research infrastructure. Manage Linux-based servers, ensure infrastructure reliability, and provide technical support to researchers.

Internship focused on correlated double sensing (CDS) for spin-qubit devices. Simulations, measurements, and model development for noise reduction in spin-qubit systems. Requires a master's degree in physics or computer science, knowledge of quantum mechanics, and programming experience (Python preferred).