195 English-speaking jobs in Delft

Mechanical Engineer to design, develop, and document new and existing products. Requires 5+ years of experience, 3D CAD proficiency, and knowledge of manufacturing processes.

Develop and produce next-generation integrated quantum devices. Work with a team to design, fabricate, and measure microwave to optical transducers. Proficiency in Python, GDS Factory, and device design required.

Quantum Photonics Engineer to design, characterize, and analyze integrated nonlinear photonics devices. Requires an MSc in physics, quantum optics, integrated photonics, or related field with 2-3 years of lab experience. Must have experience with Python for data analysis and measurement of integrated photonics devices.

Develop and characterize next-generation integrated quantum devices. Automate measurement and analysis processes, construct and manage databases, and determine device properties. Requires a PhD or four years experience in a related field, proficiency in Python, and automation experience in optical or positioning setups.

Senior HR Business Partner for the Taste, Texture & Health Business Unit in Delft. Shape and execute the People agenda, lead workforce planning and organizational design, and oversee the full talent cycle. Ensure flawless delivery of the HR cycle and partner with HR Operations. Analyze people data, guide teams through change, and lead prioritized People projects.

Lead the application of AI and data science to accelerate protein and metabolic engineering. Develop and improve models for DNA, RNA, proteins, and metabolic pathways. Translate modeling results into actionable insights for teams and stakeholders.

As a Forward Deployed System Integration Engineer - L2 (UAV Robotics), you will deploy autonomy solutions on diverse UAV platforms. Responsibilities include integrating and testing solutions, providing feedback to the product development team, and contributing to improving interfaces between autonomy algorithms and flight controllers. Strong Linux skills, UAV hardware experience, and the ability to work independently are required.

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.

This 2-year Postdoc position investigates the corrosion behavior of bipolar plates in water electrolysis cells. The successful candidate will develop accelerated corrosion tests and standardized protocols for alternative BPP materials.

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.

Install, service, and support superconducting nanowire single-photon detectors (SNSPDs) worldwide. Build relationships with research laboratories, gather feedback, and troubleshoot technical issues.

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.

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.

Execute technical security evaluations, including design and code reviews, vulnerability analysis, and embedded testing. Provide guidance to colleagues and translate findings into actionable input for the security testing team. Minimum 4 years of experience in security evaluation, with proficiency in C, C++, or Assembly and experience with secure embedded systems.

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.

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.