374 English-speaking jobs in Delft

Two PhD positions available in quantum network systems at QuTech, Delft University of Technology. Positions focus on developing QNodeOS, a quantum network operating system, and a unified control plane architecture for quantum networks. Strong systems background and experience in software development required.

PhD researcher to investigate the impact of tramp elements (Cu, Sn, Ni) on steel microstructure and mechanical properties during hot and cold rolling and annealing.

Develop and validate fully noninvasive volumetric ultrasound imaging of the human brain, focusing on skull aberration correction. Design ultrasound sequences, build experimental setups, and develop reconstruction and signal-processing pipelines.

Two PhD positions available in quantum network systems at QuTech, Delft University of Technology. Positions are part of the Quantum Internet Alliance and focus on developing real-world software systems for quantum networks. One position focuses on optimizing the QNodeOS node operating system for deployment on a real-world quantum network prototype. The other position focuses on devising a unified control plane architecture for quantum networks.

PhD candidate to design and validate germanium and silicon-based material stacks and devices for quantum computing. Responsibilities include semiconductor material design, nanofabrication, and low-temperature electrical characterization.

Postdoctoral researcher to develop innovative data-driven methods for complex real-world problems. Focus on machine learning, deep learning, tabular data, time-series modeling, and transfer learning. Publish research, collaborate with partners, and support student supervision. PhD in Computer Science, Machine Learning, Data Science, Statistics, or related field required. Expertise in machine learning and strong implementation skills necessary.

This Postdoctoral position at TU Delft focuses on Digital Ocean Twins for Climate Change. The researcher will develop high-fidelity wave models and conduct "what-if" scenario analysis using CMIP6/7 datasets. Work will include wave climate projections, resource assessments, and impact analyses, integrated into the European Digital Ocean platform (EDITO). Collaboration with academic and industry partners is expected.

Develop a testing system for analog PXI cards, including hardware breakout board design and Python scripting for functional tests.

PhD candidate to develop physics-informed foundation models for robotic manipulation. Will integrate physical structure from mechanics and dynamical systems into machine learning frameworks. Requires MSc in a relevant field, strong deep learning background, and familiarity with nonlinear dynamics and modeling.

This experimental PhD position investigates the chemical interaction between fluids and limestone, focusing on how it affects rock failure behavior. The successful candidate will characterize limestone types, explore fluid additive effects, develop acoustic monitoring techniques, and present findings at conferences.

Postdoctoral researcher to develop a theoretical framework for inclusive AV-VRU interactions using VR technologies and eHMIs. Will design and conduct VR experiments, analyze data, and publish findings. Requires a PhD in a relevant field, XR development skills, and strong experimental and analytical abilities.

PhD candidate to develop a comprehensive approach to assess novel protein technologies for mitigating food insecurity. Work involves field research in Europe and East Africa, identifying causes of food insecurity, designing value chains, and providing policy recommendations.

PhD candidate to develop a comprehensive approach to assess the potential of novel protein technologies to mitigate food insecurity. Focus on proteins from cellular agriculture and single cell proteins derived from (water-)waste streams. The assessment will focus on two regions: a European region and an East-African region. Conceptual designs for inclusive value chains will be developed for each protein type, taking into account local threats to food security and adaptive strategies to future threats.

Assembly, Integration & Test (AIT) Specialist will inspect, clean, and test satellite propulsion systems ranging from CubeSats to 1-tonne class. Responsibilities include process improvement, supplier feedback, and participation in AIT activities at various levels. Requires 5+ years of experience in AIT activities on complex systems and familiarity with space segment activities and quality processes.

Assembly Team Lead will manage a team, drive production process improvements, and ensure product quality and timely delivery. Requires 5+ years in a production/assembly environment, understanding of mechanical/electro-mechanical assembly, and experience with CAD drawings.

Senior FPGA Engineer needed for complex design implementation on FPGAs. Develops, tests, and documents FPGA designs for Defense and Security applications. Requires proficiency in VHDL, Verilog, and FPGA development tools, plus 3+ years of FPGA development experience.

Lead the development of the UrbanHealthTwin digital twin platform, integrating climate, hydrological, epidemiological, biological, and urban-system models. Coordinate digital twin activities across an international consortium and support scenario-based climate adaptation decision-making.

PhD position in analysis of partial differential equations (PDEs) stemming from structured population dynamics and kinetic theory. The candidate will investigate qualitative and quantitative aspects of PDEs using mathematical tools from PDE theory, functional analysis, and probability theory.

Postdoctoral researcher to investigate atomistic mechanisms of carburization, wetting, and graphitization of carbonaceous materials in relation to hydrogen-based direct reduced iron (H-DRI). Will perform atomistic simulations and collaborate with researchers to connect modeling insights with process development. Requires a PhD in a relevant field and expertise in atomistic simulation techniques.

This PhD position focuses on battery energy storage for multi-functional traction grids, including sizing renewable energy sources, maximizing EV charger consumption of excess energy, and designing a robust state estimator.