266 English-speaking jobs in Delft

Two PhD positions available in Physics-Informed Machine Learning for Traffic Modelling & Prediction. Develop hybrid traffic flow models combining traffic theory with machine learning approaches. Focus areas include network-wide traffic prediction, data assimilation, and network state estimation. Successful candidates will have an MSc degree in a STEM field, experience with coding (Python, Matlab, JAVA, C#), and a passion for physics and complex systems.

Assistant Professor to contribute to research and education on design processes, methods, and practices in relation to emerging technologies like AI.

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. Design physically consistent and interpretable machine-learning methods for dynamic traffic systems. Test and validate prediction models using large-scale real-world traffic data. Develop new data assimilation methods for estimating traffic states and network conditions. Combine machine learning with traffic flow theory to improve prediction reliability and robustness. Estimate path flows, boundary conditions, and other key inputs for large-scale traffic models. Design scalable methods for real-time traffic prediction and uncertainty quantification in operational networks.

Two PhD positions are available to develop new traffic prediction methods combining traffic flow theory and machine learning. PhD Position 1 focuses on hybrid traffic flow modeling using Physics-Informed Neural Networks (PINNs). PhD Position 2 focuses on data assimilation and network state estimation for large-scale traffic models. Successful candidates will have an MSc degree in a STEM field, experience with coding (e.g., Python, Matlab, JAVA, C#), and a strong interest in physics, complex systems, and machine learning.

Postdoc to develop a new generation of traffic prediction methods combining traffic flow theory and machine learning. Integrate hybrid traffic models, data assimilation, and uncertainty quantification methods. Collaborate with road authorities and industry partners to test and validate methods in real-world use cases.

Two PhD positions are available at TU Delft's Autonomous Multi-Robots Lab to explore multi-agent aerial manipulation for construction. PhD #1 focuses on multi-agent planning and control for cable-suspended aerial multi-lifting systems (CAMLs), while PhD #2 investigates contact-aware planning and control for aerial robotic manipulators (ARMs). Successful candidates will collaborate with researchers from ETH Zurich and TU Munich, develop algorithms, and contribute to the final demonstration of pavilion assembly.

Quality Assurance Officer for Lifelong Learning programs in science, engineering, and design. Collaborate with education support, business teams, and faculty to improve program quality. Analyze learner data, platform insights, and educational content to ensure alignment with quality standards. Prepare quality assurance reports and advise on system improvements.

Postdoctoral researcher to develop task-level planning and coordination methods for heterogeneous aerial robotic teams assembling a pavilion. Research will address multi-agent planning under dynamic constraints, contact-rich interactions, and perception limitations. Candidate will contribute to the development of novel control and learning methods for aerial manipulators and multi-drone systems.

Volunteer Talent Acquisition & Culture Lead will support recruitment, onboarding, and team culture initiatives. Responsibilities include candidate engagement, new member support, cultural activity coordination, and documentation maintenance. Strong communication, intercultural skills, and a commitment of 15 hours per week are required.

PhD candidate to develop lipid-based nanoparticle formulations for cancer treatment. Will design, optimize, and experimentally validate nanoparticle stability and ultrasound triggerability using molecular modeling and in vitro/in vivo studies.

Assistant Professor to contribute to research and education on design processes, methods, and practices in relation to emerging technologies, particularly AI. The role involves investigating how designers generate, develop, and evaluate ideas in the context of evolving technologies. Collaboration with designers, engineers, economists, and social scientists is expected. The candidate will contribute to Bachelor and Master programs, particularly in courses related to design processes, methodologies, creativity, strategic design, and service design.

The Section of Electronic Components, Technology and Materials at TU Delft seeks an Associate Professor to develop a research program in advanced packaging and heterogeneous integration. Responsibilities include securing funding, building collaborations, and contributing to education.

Lead a world-class research program in advanced packaging and heterogeneous integration, shaping next-generation system integration technologies. Develop and secure competitive funding, build collaborations with industry and research institutes, and contribute to microelectronics education. Expertise in areas such as chiplet architectures, 3D integration, thermal management, or power electronics is desired. PhD in a relevant field and a strong international research track record are required.

Electrical & Instrumentation Designer needed for Innovations Department in Delft. Develop electrical power systems, automation systems, and ship services across all engineering phases. Responsibilities include creating electrical documentation, selecting equipment, and ensuring compliance with codes and standards. Requires MBO or BSc in Electrical Engineering, 4+ years experience as an E&I Designer or 7+ years as an E&I Draftsman, AutoCAD and EPLAN experience, and familiarity with Siemens automation hardware.

Develop a hybrid approach for modeling heat conduction in ship structures. This internship involves studying existing methods, comparing their behavior, and developing criteria for switching between simplified and detailed models.

Optical Scientist specializing in Monte Carlo light propagation simulations for medical device development. Develop and refine simulation models for light transport through tissues, focusing on retinal and skin applications. Collaborate with physicists, biomedical engineers, and stakeholders to interpret results, validate simulations, and contribute to project organization. PhD in physics or biomedical optics required, along with experience in Monte Carlo simulations and Python coding.

Optical Scientist specialized in Photonic Integrated Circuits (PICs) will develop, validate, and implement PIC devices and systems for applications in medical instrumentation, opto-acoustics, optical communication, and quantum technologies. Responsibilities include contributing to technology strategy, chip designs, and experimental characterization. Requires a PhD in physics or engineering with experience in PIC modeling, device design, and chip-level testing.

Orderpickers join a dynamic warehouse team, picking and packing orders based on pick lists. Assisting with inventory tracking, restocking, and onboarding new team members is also part of the role.

Orderpickers join a dynamic warehouse team, picking and packing orders based on pick lists. Assisting with inventory tracking, restocking, and onboarding new team members is also part of the role.

Orderpickers join a dynamic warehouse team, picking and packing orders based on pick lists. Assisting new team members and maintaining warehouse safety are also key responsibilities.