260 English-speaking jobs in Delft

PhD candidate to design and develop AI-driven solutions for predictive intelligence in MRI scanning. Responsibilities include designing a multi-level data acquisition infrastructure, developing real-time system reconfiguration, and creating a self-calibrating platform.

PhD position in CMOS Phase-Locked Loop design for next-generation wireless communication. Develop innovative PLL architectures, conduct circuit design and simulation, and validate designs on silicon.

Data Scientist will design and implement data processing pipelines for manufacturing and inspection datasets. Responsibilities include using AI/ML and statistical methods to detect trends, anomalies, and defects in data, and collaborating with domain experts to define ground truth and validation experiments. Requires a BSc (HBO), MSc. (or Ph.D.) in a relevant field, strong Python programming skills, and 0-3 years of experience building data processing pipelines and applying statistics and Machine/Deep Learning to real-world data. Experience with manufacturing process data, robotics systems, and/or metrology data is a plus.

As Instrument Scientist SANS, you will be responsible for the optimal use of the Small Angle Neutron Scattering instrument at the TU Delft Reactor Institute. You will train and support users, advise on experimental design and data analysis, and contribute to instrument development.

As Instrument Scientist SANS, you will be responsible for the optimal use of the Small Angle Neutron Scattering instrument at the TU Delft Reactor Institute. You will train and support users, advise on experimental design and data analysis, and contribute to instrument development. You will also represent TU Delft internationally through conferences and publications.

PhD position developing advanced predictive control methods for integrated energy storage systems and greenhouse climate control. Focus on optimizing energy hub operation, flexibility maximization, and load shifting in response to grid signals. Requires a relevant MSc degree and strong interest in systems and control, model predictive control, and energy systems.

Postdoctoral Researcher to investigate the impact of semiconductor stack properties on spin qubit performance in germanium. Responsibilities include measurement, characterization, and analysis of germanium hole spin qubits within novel material stacks. Requires a PhD in Physics, Electrical Engineering, or a related field, hands-on experience with solid-state qubit measurement and control, expertise in cryogenic measurements and microwave control hardware, and strong programming and data analysis skills.

PhD research on the reliability-based safety assessment of deteriorated half-joint connections in concrete bridges. Involves NDT innovation, data analytics, structural modeling, uncertainty quantification, and experimental validation.

Data Engineer needed to design, develop, and maintain data pipelines and storage solutions. Collaborate with BI Specialists, Customer Intelligence, and reporting teams. Experience with Azure, Data Factory, and Microsoft Fabric required.

Data Scientist will design and implement data processing pipelines for manufacturing and inspection datasets. Responsibilities include using AI/ML and statistical methods to detect trends, anomalies, and defects in data, and collaborating with domain experts to define ground truth and validation experiments. Requires a BSc or MSc in a relevant field, strong Python programming skills, and experience building data processing pipelines and applying statistics and Machine/Deep Learning to real-world data. Experience with manufacturing process data, robotics systems, and/or metrology data is a plus.

This PhD research project focuses on developing scalable decentralized machine learning algorithms for tabular data. Responsibilities include designing privacy-preserving data exchange strategies and developing decentralized training frameworks.

Develop and market innovations for energy positive buildings and neighborhoods, focusing on flexibility solutions to prevent grid congestion. Identify market needs, build partnerships, and develop project proposals.

Quality Engineer will ensure the quality of cloud software solutions. Responsibilities include developing test designs, performing functional and load testing, and collaborating with teams. Requires a degree in a related field, 3+ years of automation testing experience, and proficiency with Azure DevOps or Github.

PhD candidate to design and develop AI-based solutions for predictive intelligence in MRI scanning. Responsibilities include designing a multi-level data acquisition infrastructure, developing real-time system reconfiguration, and creating a self-calibrating platform.

Develop a machine learning-based downscaling framework linking coarse resolution climate model outputs to fine-scale glacier melt and precipitation estimates.

Design ultra-low-jitter, low-spur PLLs and validate them on real silicon within the ERC Synergy DISRUPT project. Explore and develop innovative PLL architectures, conduct system-level modeling, and perform transistor-level circuit design.

Develop data-driven methods for detecting localized corrosion in military systems using AI and machine learning. Collaborate with the Netherlands Defence Academy to translate research into practical monitoring solutions.

PhD position in receiver and ADC design for next-generation wireless communication. Develop time-domain receiver and ADC architectures for accurate transmitter output observation. Implement and validate designs on silicon.

Develop and implement real-time monitoring and automated control strategies for bench-scale CHO cell cultures producing monoclonal antibodies. This PhD project involves developing models to monitor key analytes and designing strategies to optimize productivity while maintaining product quality.

Develop a 3D measurement technique to study emulsion behavior (e.g., coalescence and phase inversion) in microfluidic devices.