312 English-speaking jobs in Delft

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.

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.

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.

The Faculty of Architecture & the Built Environment seeks an interim Data Steward to support researchers in data and software management. The Data Steward will advise and train researchers on data management practices, including grant proposal support and data publication. The role requires a PhD or equivalent research experience, understanding of research data management, and excellent communication skills.

Own multiple operational domains within a fast-scaling E-mobility business, including energy management, customer support, payments, and data analytics. Design and implement systems, processes, and structures to support network scalability across Europe and North America. Drive performance of client charger sites, manage relationships with partners, and ensure exceptional driver experience.

Postdoctoral researcher to investigate atomistic mechanisms of carburization, wetting, and graphitization of carbonaceous materials in support of green steel production.

PhD position focused on developing sustainable sodium-sulfur (Na-S) batteries as an alternative to lithium-ion batteries. The research will involve experimental exploration of Na-S battery concepts, electrochemical testing, and assessment of environmental and societal impacts.

Develop advanced game-theoretic control and optimization methods for complex systems. Research will focus on stochastic game equilibrium problems, data-driven distributionally robust reformulations, and stochastic equilibrium seeking algorithms.

Postdoctoral researcher to develop emergency load control and shedding algorithms for critical frequency conditions in low-inertia power systems. Focus on grid-forming inverters, system integrity protection schemes, and RTDS simulation. Requires an MSc in Electrical Power Engineering and expertise in system protection, wide-area monitoring, and EMT-based software tools.

Technical Sales Specialist needed to bridge quantum networking technology with customer needs. Responsibilities include explaining Q*Bird's technology, tailoring solutions, developing technical content, and guiding customers through implementation. Requires a technical background, strong communication skills, and experience in a technical sales or pre-sales role.

This PhD position focuses on physical modeling of Backward Erosion Piping (BEP) progression and meandering within the Digital Dikes project. The successful candidate will develop experimental setups, explore BEP mechanisms, and interpret 3D patterns using image analysis.

This NWO-funded project investigates organizational and technical patching practices and their impact. The postdoc will collect and analyze data, collaborate with research teams, and produce publishable results.

Machine Learning Intern to develop a proof of concept tool for detecting and predicting anomalies in satellite telemetry data. Responsibilities include exploring, cleaning, and structuring time-series data, designing and implementing machine learning models, and evaluating model performance.

Fabrication Engineer will research, develop, and physically realize the quantum signal chain, focusing on Traveling Wave Parametric Amplifiers (TWPAs) and readout components.

Lead the development of the DIGI-ADAPT AI-platform, integrating and visualising multi-hazard risk data and adaptation assessment. Demonstrate DIGI-ADAPT as a user-friendly geoportal to visualise coastal risk and socio-economic values. Ensure compatibility of DIGI-ADAPT with European digital climate initiatives. Organise workshops and coordinate stakeholder engagement.

This postdoc position focuses on understanding organizational and technical practices related to software patching for security within partner organizations. The researcher will collect and analyze data from various sources, including interviews, surveys, ticketing systems, and incident logs.

Postdoctoral researcher to develop emergency load control and shedding algorithms for low-inertia power systems. Focus on grid-forming inverters, frequency stability, and System Integrity Protection Schemes (SIPS) using RTDS simulation and Hardware-in-the-loop testing. Requires an MSc in Electrical Power Engineering and expertise in system integrity protection schemes, wide area monitoring, and EMT-based software tools.

Develop scientific machine learning and control methods for biofabrication processes, focusing on cell and material deposition in soft biological systems. Design approaches based on state-of-the-art techniques, such as convolutional neural networks, transformer models, and optimization methods. Apply and validate these methods on experimental data in close collaboration with biofabrication groups.

Postdoctoral fellow to research and develop an assessment framework for Best Available Technology (BAT) in deep-sea mining. The role involves technology analysis, comparison, and case studies for polymetallic nodules and seafloor massive sulfide deposits. Collaboration with project partners, including NIOZ and NTNU, is required.

Develop scientific machine learning and control methods for biofabrication processes, focusing on cell and material deposition in soft biological systems. Design approaches based on state-of-the-art techniques, such as convolutional neural networks, transformer models, and optimization methods. Apply and validate these methods on experimental data in collaboration with biofabrication groups.