507 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.

Develop complex optical systems for diverse applications including lens systems, laser beam delivery, optical probing, and illumination optics. Design, perform trade-off studies, and conduct error budgeting and tolerance analysis. Contribute to the full product development lifecycle and collaborate with a multidisciplinary team.

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.

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.

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.

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.

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 candidate to develop a decision-making framework for applying spectrally selective window films in heritage buildings. The role involves building performance simulation, monitoring indoor environments, and collaborating with experts in chemical engineering and material science.

This PhD project investigates the occurrence and concentrations of opportunistic pathogens in cooling water systems. The successful candidate will develop and implement pathogen monitoring strategies, assess how pathogen concentrations vary across time, space, and weather conditions, and create an early warning system to support climate-resilient water safety management.

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.

Lead Cloud Engineer will shape cloud strategy, mentor engineers, and ensure stable infrastructure for thousands of customer environments. Responsibilities include driving cloud initiatives, promoting collaboration, and leading technical discussions. Requires 7+ years of Azure experience, 3+ years with Terraform via CI/CD, and experience with CAF, WAF, and database scalability.

This PhD research project focuses on developing scalable decentralized machine learning algorithms for tabular data. The project will involve designing privacy-preserving data exchange strategies, exploring vertical and horizontal federated learning, 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.

Leads digital risk management across the IKEA value chain, identifying, assessing, and treating risks according to risk appetite. Drives programs to manage risks and improve the digital environment, ensuring compliance with policies and regulations. Collaborates with stakeholders across Inter IKEA Group.

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.

Lead and grow Fiducial's multidisciplinary engineering team across software and hardware domains. Strengthen engineering foundations, ensuring scalability and alignment with company growth. Manage a team of software, hardware, and embedded engineers, mentoring junior engineers and interns. Collaborate with Product, Operations, and CTO to translate product requirements into actionable engineering plans.