336 English-speaking jobs in Delft

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 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.

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 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.

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.

Interim Group Product Manager for AI, driving product strategy, execution, and go-to-market launch. Leads product narrative, alignment, and big bets, ensuring stability and progress during maternity leave.

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).

Design, fabricate, and experimentally characterize on-chip photonic neural network architectures. Develop in-situ training strategies for analog photonic hardware. Collaborate with interdisciplinary teams.

PhD candidate will develop robot mission planning and simulation environments for biodiversity monitoring at artificial and biogenic reefs. Research will focus on intelligent path-planning algorithms for single and multi-robot systems, incorporating advanced navigation techniques. Collaboration with industry partners is essential.

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 investigate the life cycle of Weibel-Palade Bodies in disease using multi-beam electron microscopy and correlative fluorescence light microscopy.

Develop innovative acoustic and psychoacoustic algorithms for a novel platform assessing sound quality in hospital PICUs. Research will involve modeling sound perception, affective quality, and sound event classification. Requires a MSc in a relevant field, strong programming skills, and experience with audio signal processing and machine learning.

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.

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.

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.

PhD position focused on developing methods to detect and mitigate violations of causal inference assumptions, particularly positivity violations. The work will involve developing detection methods, determining the presence of violations in different treatments and subpopulations, and accounting for uncertainty.

This PhD position focuses on studying the growth of coastal dunes in an urban environment. The successful candidate will lead fieldwork, utilize remote sensing techniques, and simulate dune evolution using the AeoLiS model. Dissemination of findings to stakeholders is also a key responsibility.

Lead Process Integration Engineer will industrialize quantum products from R&D to an 8" pilot line. Responsibilities include yield roadmap development, wafer size conversion, and product flow ownership from R&D to production. The role requires 10+ years of semiconductor/MEMS integration/process engineering experience, proven R&D-to-production transfer experience, and expertise in MES, SPC, DoE, and fab data flows.

Lead architect for the physical realization of QuantWare's VIO quantum processors. Modify and customize high-precision assembly equipment for 3D integration. Develop sub-micron placement and bonding processes for non-standard substrates. Design and execute 3D integration strategies, including multi-die stacking and interposer-based architectures. Interface with equipment manufacturers for specialized hardware co-development.

Machine Learning Intern to develop a proof of concept tool for detecting and predicting anomalies in satellite telemetry data. Tasks include exploring, cleaning, and preprocessing time-series data, designing feature engineering pipelines, and developing and testing machine learning models.