75 rotterdam English-speaking jobs in Delft

Job description Can scrap steels become the future of high‑performance 3D printing? Join us in reshaping metal manufacturing by turning industrial waste into precision‑engineered components through 3D‑printing!

Overview Join TU Delft in advancing the understanding of materials ageing in research reactors. As a Postdoctoral Researcher, you will study how light alloys corrode under simulated operating conditions and assess strategies to prevent degradation.

Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. To ensure economic viability with off-peak times and relatively remote locations, while increasing attractiveness to users, we need innovative designs where fixed and flexible services support each other.

Overview Are you passionate about generative artificial intelligence and ships? Join us in innovating the ship design process as we know it. Job description: Introduction Generative AI is transforming how content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans.

The postdoctoral researcher will focus on developing prognostic methodologies capable of predicting discharge time while accounting for both battery aging and operational conditions. These predictions will provide valuable input for an intelligent, prognostics-based Battery Management System (BMS).

We are seeking a motivated PhD candidate to join the Scappucci Lab to contribute to the development of next-generation semiconductor materials for quantum technology. Our team has pioneered advanced semiconductor materials for spin-based quantum computing, and this project aims to take a bold step forward.

Job description Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications. Examples include RRAM or STT-MRAM collectively known as memristor-based Computation-in-Memory (CIM) accelerators.

PhD project In this project, you will work on designing a scalable bioprocess using unspecific peroxygenase (UPO) enzymes to produce a panel of synthetically useful chemicals. The envisioned process design will include integrated up- and downstream processing, and you will apply real-time monitoring to achieve in-depth understanding of the bioconversion and accelerate process development time.

Job description: Are you enthusiastic about quantum physics and its foundations? Do you want to explore the transition from the classical to the quantum world while developing real-world applications in quantum sensing? Then this PhD position is for you! Responsibilities Build a tabletop experiment with optical tweezers to trap nanospheres in vacuum.

Job description: Cells are often described as intricate machines where proteins work together to produce essential cellular functions. Evolution can lead to core functions being preserved even when key proteins are absent in related species.

Overview Lead pioneering research in radar signal processing with real-world impact. Shape the future of wireless sensing while mentoring the next generation and accessing Europe’s top radar infrastructure. Job description At TU Delft’s Microwave Sensing, Signals and Systems (MS3) group, you’ll be at the forefront of research in cognitive systems and remote sensing.

Overview Job description Quantum physics has revolutionized the way we live—just think of the billions of transistors working to enable you to read this advert. Yet, quantum phenomena typically dominate only at the “small” scale of atoms and molecules. Imagine extending effects like quantum superposition and entanglement to “large” objects that we usually think of as classical particles.

Job description The process industries are the backbone of modern society, producing the energy, chemicals, and materials that keep our world running. Yet, they are increasingly exposed to NaTech events—natural hazards that trigger technological accidents—which can have devastating impacts on people, infrastructure, and the environment.

This PhD project addresses increasing protein demand and the environmental benefits of single-cell protein production using photovoltaic-driven systems. Purple non-sulphur bacteria (PNSB) offer versatile metabolic modes and can produce proteins, polyhydroxyalkanoates (PHAs), carotenoids, and coenzyme Q10 for food and feed applications.

The PhD candidate will join the group of Bilge Atasoy, with researchers working on adaptive transport and logistics systems through methodologies of dynamic and predictive optimization, behavioral modeling and machine learning. There is active collaboration within the group with scientific and social activities.

As a researcher at TU Delft, you will play a pivotal role in the project Centering Designing Otherwise (CDO). The project challenges the dominance of a single way of teaching and practicing spatial design and aims to pluralize the center of spatial design discourse by amplifying practices of designing otherwise and experimenting with multiple mediums.

Job Description You will research the state-of-the-art in AI and apply it to real-world software problems at our industrial partners: ASML and DCODIS (a start-up). This is technically challenging applied research with as main outcome a proof-of-concept tool that allows developers to quickly find and fix software errors including security vulnerabilities.

This research area faces design and technology challenges, application mapping and reliability issues. There is a growing demand for efficient and reliable digital CIM-based neuromorphic system design, including reliability-aware mapping and optimization techniques and cost-effective mitigation schemes that ensure efficient and reliable operation.

Lukas Kapitein) and Erasmus Medical Center Rotterdam (prof.

To address these challenges, the Hydraulic Engineering Department at TU Delft is seeking a motivated and experienced Postdoctoral Researcher. In this role, you will investigate how innovative water retention solutions (particularly nature-based approaches) can enhance resilience, combined with a detailed assessment of the performance of critical hydraulic infrastructure during extreme events.