300 English-speaking jobs in Delft

PhD position focused on using the Random Finite Element Method to investigate the impact of soil spatial variability on backward erosion piping under dikes. The research involves developing a 3D RFEM tool, analyzing piping initiation and progression, and developing a reliability-based surrogate model for risk assessment.

PhD position focused on physical modeling of Backward Erosion Piping (BEP) to improve understanding of dike collapse mechanisms. The successful candidate will develop experimental setups, incorporate novel measurement techniques, and explore 3D meandering behavior of pipe networks. Strong experimental research, programming, and communication skills are required.

PhD researcher to investigate design methods and digital workflows for Textile-Form Weaving (TFW), a 2D-3D garment design and fabrication approach. Develop design methodologies, digital tools, and workflows for on-demand, zero-waste garment manufacturing. Collaborate with academic and industry partners across Europe.

PhD candidate to investigate early damage detection in composite materials using Quantum Photonic Vibrometry and AI. Will design experiments, analyze data, develop AI models, and collaborate with partners. Requires a Master's degree and experience with programming languages like Python or MATLAB.

Postdoctoral researcher to assess the reliability and climate resilience of European coastal infrastructure using environmental datasets and climate projections. Develop and apply reliability and risk analysis frameworks for coastal and offshore engineering systems.

PhD candidate to co-create circular business models and product-service systems for e-bikes and washing machines. Focus on user-centered design, circular propositions, and behavior change strategies. Requires an MSc degree in a relevant field, experience with participatory research, and proficiency in English.

Lead a research project developing digital twins for climate-resilient and health-conscious urban planning. Integrate climate, water, urban, biological, and epidemiological data into an explainable digital twin. Design interactive interfaces for policymakers and stakeholders.

The Faculty of Industrial Design Engineering at TU Delft seeks a talented Academic Career Track candidate to establish an independent research line on sustainable and circular healthcare design. The successful candidate will develop design-driven approaches for medical devices and services, focusing on reducing environmental impact while maintaining clinical effectiveness, safety, and usability. The position includes teaching responsibilities at both Bachelor's and Master's levels.

Postdoctoral researcher to develop radar-based quantitative precipitation estimation (QPE) methods using European radar datasets. Responsibilities include radar data processing, QPE development, and evaluation of rainfall extremes. Requires a PhD in a relevant field, experience in weather radar and spatial data analysis, and strong programming skills.

PhD candidate will develop a theoretical framework for inclusive AV-VRU interactions and design accessible VR simulators. The position involves conducting VR experiments, real-world testing, and collaborating with other researchers.

PhD candidate to investigate rebound effects in eco-design and develop methods to recognize, predict, and mitigate them. Research will involve mapping rebound mechanisms, analyzing case studies, and collaborating with designers and stakeholders.

Postdoctoral researcher to develop a theoretical framework for inclusive Automated Vehicle (AV) and Vulnerable Road User (VRU) interactions using Virtual Reality (VR) technologies. Will design accessible VR simulators, conduct experiments, and evaluate inclusive Human-Machine Interface (eHMI) designs. Requires a PhD in a relevant field, XR technology expertise, and strong experimental and analytical skills.

Postdoctoral researcher to integrate fault tolerance and dependability in waterborne digital systems. Will work on a Horizon Europe project with 13 partners, focusing on functional analysis, reliability assessment, and experimentation. Requires a PhD in a relevant field, modeling skills, programming skills, and English fluency.

This experimental PhD position investigates how fluid-rock interaction affects the failure behavior of limestone. The successful candidate will characterize the brittle-ductile transition in limestone, explore the effect of fluid additives on failure behavior, and develop acoustic monitoring techniques to predict rock failure.

Postdoctoral Researcher to join research on coordinated optimal control and optimization of integrated AC-MTDC power systems. Focus on OPF-related methodologies for future transmission networks. Modeling, analysis, and simulation of AC-MTDC systems. Requires solid knowledge of power systems, modeling techniques, programming, and analytical skills.

Advance innovative electrochemical recycling of lithium iron phosphate batteries. This 10-month Postdoc project focuses on recovering critical raw materials through cutting-edge research.

Design and develop integrated sensors and mixed-signal readout ICs for flexible electronic skin (Smart Skin) used in advanced robotics. Responsibilities include IC architecture design, sensor co-integration, tape-out and characterization, and mentorship.

The Faculty of Industrial Design Engineering at TU Delft seeks a talented Academic Career Track candidate to establish an independent research line on sustainable and circular healthcare design. The successful candidate will develop design-driven approaches for medical devices and services, focusing on reducing the environmental impact of healthcare systems. This position involves conducting research, publishing academic papers, developing educational programs, and collaborating with industry and clinical partners.

Full-Stack Developer and User Systems Architect needed to design, develop, and maintain a user-centric web application. Responsibilities include integrating platform services, collaborating with stakeholders, designing APIs, and automating data delivery processes. Proven experience with Python, JavaScript, HTML, CSS, REST APIs, and database management is required. Experience with AWS, Docker, and CI/CD pipelines is also desired.

As a Machine Learning Engineer, Data Generation, you will build synthetic media datasets and generation workflows to improve deepfake detection models. You will research, test, and compare deepfake generation methods, generate synthetic media across various manipulation types, and build structured datasets with clear labels and metadata. You will also automate data generation tasks and work with sensitive data, adhering to internal privacy and security guidelines.