341 English-speaking jobs in Delft

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.

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

The Chief of Staff will manage the leadership team's operating cadence, translate the CEO's priorities into execution, and prepare Board materials. This role requires 6+ years of experience, ideally in strategy consulting or investment banking, with a high level of agency and ownership.

As VP of Marketing, you will build and lead the entire marketing function at QuantWare, a company developing quantum processors. Responsibilities include corporate marketing, product marketing, analyst relations, institutional investor marketing, ecosystem development, communications, PR, content, events, employer branding, government affairs, and marketing operations. You will report to the CEO and have a leadership team seat.

Postdoctoral researcher to investigate the health impacts of Nature-based Solutions (NBS) in mitigating climate extremes and urban flooding. Research will focus on the nexus of water, health, and NBS, including pathogen dispersal, human exposure risks, and quantitative microbial risk assessment (QMRA).

PhD candidate to develop ambient backscatter communication techniques for ultra-low-power IoT systems in terrestrial and non-terrestrial networks. Research will focus on modulation design, signal processing, and energy-efficient wireless design for future 6G systems.

PhD researcher to study coastal dune growth in an urban environment. Responsibilities include fieldwork, modeling, and stakeholder communication. Requires an MSc in a relevant field, experience with coastal engineering, and strong programming skills.

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.

Develop algorithms for a novel digital platform analyzing soundscapes in Pediatric Intensive Care Units (PICUs). Research will involve modeling acoustic and psychoacoustic metrics, predicting perceived sound quality, and classifying sound events.

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.

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.

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.

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.

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.

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.

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

Drive the integration of Artificial Intelligence with aerospace structures to improve performance and reliability. Contribute to research and educate the next generation of aerospace engineers. Develop and apply AI methods to combine data sources for enhanced predictive models.

Lead the development of the DIGI-ADAPT AI platform for coastal climate resilience within a European project consortium. Responsibilities include software development, stakeholder engagement, and ensuring platform compatibility with European digital climate initiatives. Requires a PhD in a relevant field, experience in data management and software development, and strong programming skills (Python, SQL, Java, PyTorch).

PhD candidate will develop methods to map internal musculoskeletal geometries from external body shape and demographics. Responsibilities include contributing to data collection, developing parametric models, and designing models to infer skeletal and muscular geometry.

Postdoctoral researcher to develop emergency load control and shedding algorithms for critical frequency conditions in low-inertia power systems. Research will focus on the impact of renewable energy sources and complex demand resources on frequency stability. Requires expertise in RTDS simulation, Hardware-in-the-loop testing, and System Integrity Protection Schemes.