Postdoc Protection and Control of DC Microgrid for Electric Aircraft

Job description

DC microgrids with integrated energy storage are a key enabler of the electrification of transportation, industry, data centers, and renewable energy systems. However, the high-power, low-impedance, and dynamically varying DC microgrids introduces significant challenges in system stability and fault resilience. These challenges are particularly critical for electric aircraft, requiring high power density, stringent weight constraints, fast electrical dynamics, and demanding safety requirements.

The objective of this postdoctoral position is to develop efficient, stable, and fault-resilient DC microgrids for electric aircraft, addressing challenges from the converter level to the system level. At the converter level, you will investigate power conversion, control, and protection technologies to achieve high power density, robust operation, and effective fault handling. At the system level, you will design DC microgrid architectures that integrate diverse energy sources, power converters, and aircraft loads. A hardware-in-the-loop (HIL) test platform will be developed to validate the proposed solutions. This platform will support research on stability analysis, and the transient and steady-state responses under various faults. A particular focus will be placed on the interaction between protection actions and system control to ensure stable and resilient operation under normal and fault conditions.

What You Will Do

• Develop and validate digital models of energy sources and storage, power electronic converters, and aircraft loads
• Design DC microgrid architectures for electric aircraft, balancing reliability, efficiency, power density, and weight. Implement an HIL test platform for the selected architecture
• Investigate DC fault dynamics by analyzing transient and steady-state system behavior under pole-to-pole and pole-to-ground faults, and propose mitigation measures
• Investigate the interaction between protection and control and develop coordinated protection and control strategies to enhance overall system performance and fault resilience
• Validate proposed solutions through simulation and HIL experiments

What the Position Offers You

• A state-of-the-art power electronics laboratory, equipped with advanced research and testing facilities, including OPAL-RT, PLECS RT Box, and Imperix power amplifiers
• An opportunity to conduct high-impact research on electric aircraft, contributing to the future of sustainable aviation
• Opportunities to contribute to the DC Systems and EV Charging Summer School

About the department

The research in ESE Department is inspired by the technical, scientific, and societal challenges originating from the transition towards a more sustainable society and focuses on four areas:

• DC Systems, Energy Conversion and Storage (DCE&S)
• Photovoltaic Materials and Devices (PVMD)
• Intelligent Electrical Power Grids (IEPG)
• High Voltage Technologies (HVT)

ESE Department owns the ESP laboratory is actively used for testing of grid integration of power electronics, battery degradation, hardware in loop simultion (HIL), AC and DC protection, and wide-area monitoring, protection and control.

The DCE&S group is responsible for research and education in the fields of DC systems, energy storage, electronic power conversion (power electronics), electro-mechanics for electric mobility and recently electro-chemical conversion. DC systems is a multidisciplinary field of research, exploring the electronic power conversion of electrical energy for different applications. The group is currently active in applications such as Direct Current distribution grids and microgrids, electrification of mobility (charging of electric vehicles), and renewable generation of electrical energy (such as wind and solar energy) as well as sustainable production of chemicals and fuels through large-scale conversion of renewable electricity into molecular bonds. 

Job requirements
Essential job requirements:

• Strong research record on electronic power conversion and DC systems
• Completed a PhD degree in a highly quantitative and analytical discipline (electrical engineering)
• Demonstrable experience with HIL tests or power system simulations
• Very good command of English, in both writing and speaking
• You enjoy performing research. You are independent, self-motivated, and eager to learn

Desirables:

• Knowledge of DC microgird control and stability analysis
• Knowledge of electric aircraft    

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations

Job description
The department of Biomechanical Engineering TU Delft seeks a motivated postdoctoral researcher with a background in biomechanical engineering for a full-time, fully funded project on the clinical validation of single-camera markerless motion capture for assessment and long-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, supervised by Dr. Eline van der Kruk and Dr. Ajay Seth, with measurements at clinical partner sites and in patients' homes, and part of your time spent on-site at Model Health (Leuven, Belgium) to co-develop the home-based prototype. You will work closely with clinicians, patients, and Model Health, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities (TU Delft, UTwente), 6 hospitals, 13 companies (including Model Health), 1 rehabilitation centre, and 5 patient organisations.

The Challenge
Reliable, long-term monitoring of motor impairments outside the clinic is essential to support home-based rehabilitation, yet existing markerless motion capture systems are rarely validated on neurological gait patterns and struggle to generalize across pathology, body morphology, camera viewpoint, and home environments. Before such systems can support clinical decisions, we need to know how accurate they really are, for which patients, and under which conditions. We also need to understand which outcome measures are valid and meaningful to patients, caregivers and clinicians.This position aims to close that gap: you will verify and validate a single-camera markerless motion capture system against gold-standard 3D marker-based motion capture and musculoskeletal models, first in the lab and then in patients' homes, linking biomechanical accuracy to clinically meaningful outcomes.

You will:

• Assess the accuracy of markerless outcome measures against marker-based 3D motion capture and musculoskeletal modelling in people with stroke and Parkinson’s disease.
• Use musculoskeletal modelling to compare markerless and marker-based estimates, evaluate their biomechanical plausibility and perform sensitivity analyses
• Evaluate whether these outcome measures are valid, meaningful, and acceptable in the home environment, in collaboration with patients, caregivers and clinicians
• Generate biomechanically realistic synthetic movement data from musculoskeletal simulations to train and improve markerless motion capture models
• Design and carry out home measurements with a single-camera prototype developed together with Model Health, and compare its real-world performance with lab-based measurements
• Contribute to clinician-facing visualization of the results, with privacy-by-design protection of patients and their home environment

You will translate this into a research plan aimed at peer-reviewed publications, alongside consortium deliverables.

Our offer
You will become part of the funded research program in the Netherlands named 'Care is coming home!', which involves 9 PhDs and 5 Postdocs. So, we offer an excellent inspiring, collaborative, and international research environment, with access to leading experts in medical technology and AI-driven healthcare solutions. Additionally, you will have access to state-of-the-art labs, clinical partners, and patient organisations, which are preconditions to make a meaningful contribution to the future of sustainable healthcare.

• Full-time postdoctoral position for one year, with the possibility of extension by up to two years
• Excellent mentorship and a stimulating international research environment with excellent facilities

Job requirements
We are seeking an ambitious, hands-on postdoctoral researcher who wants to find out whether markerless motion capture truly works for patients, in the lab and at home. You combine a strong engineering background in biomechanics with the communication skills to work directly with clinicians and patients.

You bring:

• A PhD in Biomechanical Engineering, Biomedical Engineering, Human Movement Sciences, or a related engineering discipline.
• Hands-on experience with musculoskeletal modelling (e.g., OpenSim, AnyBody), including critical evaluation of model outputs.
• Experience with marker-based 3D motion capture (e.g., Vicon, Qualisys) and force plates, from protocol design to data processing.
• Strong programming skills (e.g., Python and/or MATLAB) for data processing, analysis pipelines, and statistics; experience with markerless or video-based pose estimation (e.g., OpenCap) is a plus.
• Experience with, or a strong motivation to work on, measurements in patient populations, preferably people with stroke or Parkinson’s disease.
• Excellent communication and organization skills to explain technology clearly to clinicians and to work with patients, including in their home environment.
• Willingness to travel regularly to Model Health in Leuven (Belgium), clinical partner sites, and patients' homes in the Netherlands.
• Ability to work independently while thriving in a collaborative, multidisciplinary consortium team.
• Fluency in English, both written and spoken.
• Proficiency in Dutch is strongly preferred, as you will visit patients at home; proficiency in Moroccan Arabic or Turkish is an additional advantage.

If you enjoy bringing biomechanics from the lab to the clinic and into people's homes, this postdoc is the perfect opportunity to make a real impact in home-based neurological monitoring.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

Postdoc Protection and Control of DC Microgrid for Electric Aircraft

Job description

DC microgrids with integrated energy storage are a key enabler of the electrification of transportation, industry, data centers, and renewable energy systems. However, the high-power, low-impedance, and dynamically varying DC microgrids introduces significant challenges in system stability and fault resilience. These challenges are particularly critical for electric aircraft, requiring high power density, stringent weight constraints, fast electrical dynamics, and demanding safety requirements.

The objective of this postdoctoral position is to develop efficient, stable, and fault-resilient DC microgrids for electric aircraft, addressing challenges from the converter level to the system level. At the converter level, you will investigate power conversion, control, and protection technologies to achieve high power density, robust operation, and effective fault handling. At the system level, you will design DC microgrid architectures that integrate diverse energy sources, power converters, and aircraft loads. A hardware-in-the-loop (HIL) test platform will be developed to validate the proposed solutions. This platform will support research on stability analysis, and the transient and steady-state responses under various faults. A particular focus will be placed on the interaction between protection actions and system control to ensure stable and resilient operation under normal and fault conditions.

What You Will Do

• Develop and validate digital models of energy sources and storage, power electronic converters, and aircraft loads
• Design DC microgrid architectures for electric aircraft, balancing reliability, efficiency, power density, and weight. Implement an HIL test platform for the selected architecture
• Investigate DC fault dynamics by analyzing transient and steady-state system behavior under pole-to-pole and pole-to-ground faults, and propose mitigation measures
• Investigate the interaction between protection and control and develop coordinated protection and control strategies to enhance overall system performance and fault resilience
• Validate proposed solutions through simulation and HIL experiments

What the Position Offers You

• A state-of-the-art power electronics laboratory, equipped with advanced research and testing facilities, including OPAL-RT, PLECS RT Box, and Imperix power amplifiers
• An opportunity to conduct high-impact research on electric aircraft, contributing to the future of sustainable aviation
• Opportunities to contribute to the DC Systems and EV Charging Summer School

About the department

The research in ESE Department is inspired by the technical, scientific, and societal challenges originating from the transition towards a more sustainable society and focuses on four areas:

• DC Systems, Energy Conversion and Storage (DCE&S)
• Photovoltaic Materials and Devices (PVMD)
• Intelligent Electrical Power Grids (IEPG)
• High Voltage Technologies (HVT)

ESE Department owns the ESP laboratory is actively used for testing of grid integration of power electronics, battery degradation, hardware in loop simultion (HIL), AC and DC protection, and wide-area monitoring, protection and control.

The DCE&S group is responsible for research and education in the fields of DC systems, energy storage, electronic power conversion (power electronics), electro-mechanics for electric mobility and recently electro-chemical conversion. DC systems is a multidisciplinary field of research, exploring the electronic power conversion of electrical energy for different applications. The group is currently active in applications such as Direct Current distribution grids and microgrids, electrification of mobility (charging of electric vehicles), and renewable generation of electrical energy (such as wind and solar energy) as well as sustainable production of chemicals and fuels through large-scale conversion of renewable electricity into molecular bonds. 

Job requirements
Essential job requirements:

• Strong research record on electronic power conversion and DC systems
• Completed a PhD degree in a highly quantitative and analytical discipline (electrical engineering)
• Demonstrable experience with HIL tests or power system simulations
• Very good command of English, in both writing and speaking
• You enjoy performing research. You are independent, self-motivated, and eager to learn

Desirables:

• Knowledge of DC microgird control and stability analysis
• Knowledge of electric aircraft    

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations

Job description
The department of Biomechanical Engineering TU Delft seeks a motivated postdoctoral researcher with a background in biomechanical engineering for a full-time, fully funded project on the clinical validation of single-camera markerless motion capture for assessment and long-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, supervised by Dr. Eline van der Kruk and Dr. Ajay Seth, with measurements at clinical partner sites and in patients' homes, and part of your time spent on-site at Model Health (Leuven, Belgium) to co-develop the home-based prototype. You will work closely with clinicians, patients, and Model Health, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities (TU Delft, UTwente), 6 hospitals, 13 companies (including Model Health), 1 rehabilitation centre, and 5 patient organisations.

The Challenge
Reliable, long-term monitoring of motor impairments outside the clinic is essential to support home-based rehabilitation, yet existing markerless motion capture systems are rarely validated on neurological gait patterns and struggle to generalize across pathology, body morphology, camera viewpoint, and home environments. Before such systems can support clinical decisions, we need to know how accurate they really are, for which patients, and under which conditions. We also need to understand which outcome measures are valid and meaningful to patients, caregivers and clinicians.This position aims to close that gap: you will verify and validate a single-camera markerless motion capture system against gold-standard 3D marker-based motion capture and musculoskeletal models, first in the lab and then in patients' homes, linking biomechanical accuracy to clinically meaningful outcomes.

You will:

• Assess the accuracy of markerless outcome measures against marker-based 3D motion capture and musculoskeletal modelling in people with stroke and Parkinson’s disease.
• Use musculoskeletal modelling to compare markerless and marker-based estimates, evaluate their biomechanical plausibility and perform sensitivity analyses
• Evaluate whether these outcome measures are valid, meaningful, and acceptable in the home environment, in collaboration with patients, caregivers and clinicians
• Generate biomechanically realistic synthetic movement data from musculoskeletal simulations to train and improve markerless motion capture models
• Design and carry out home measurements with a single-camera prototype developed together with Model Health, and compare its real-world performance with lab-based measurements
• Contribute to clinician-facing visualization of the results, with privacy-by-design protection of patients and their home environment

You will translate this into a research plan aimed at peer-reviewed publications, alongside consortium deliverables.

Our offer
You will become part of the funded research program in the Netherlands named 'Care is coming home!', which involves 9 PhDs and 5 Postdocs. So, we offer an excellent inspiring, collaborative, and international research environment, with access to leading experts in medical technology and AI-driven healthcare solutions. Additionally, you will have access to state-of-the-art labs, clinical partners, and patient organisations, which are preconditions to make a meaningful contribution to the future of sustainable healthcare.

• Full-time postdoctoral position for one year, with the possibility of extension by up to two years
• Excellent mentorship and a stimulating international research environment with excellent facilities

Job requirements
We are seeking an ambitious, hands-on postdoctoral researcher who wants to find out whether markerless motion capture truly works for patients, in the lab and at home. You combine a strong engineering background in biomechanics with the communication skills to work directly with clinicians and patients.

You bring:

• A PhD in Biomechanical Engineering, Biomedical Engineering, Human Movement Sciences, or a related engineering discipline.
• Hands-on experience with musculoskeletal modelling (e.g., OpenSim, AnyBody), including critical evaluation of model outputs.
• Experience with marker-based 3D motion capture (e.g., Vicon, Qualisys) and force plates, from protocol design to data processing.
• Strong programming skills (e.g., Python and/or MATLAB) for data processing, analysis pipelines, and statistics; experience with markerless or video-based pose estimation (e.g., OpenCap) is a plus.
• Experience with, or a strong motivation to work on, measurements in patient populations, preferably people with stroke or Parkinson’s disease.
• Excellent communication and organization skills to explain technology clearly to clinicians and to work with patients, including in their home environment.
• Willingness to travel regularly to Model Health in Leuven (Belgium), clinical partner sites, and patients' homes in the Netherlands.
• Ability to work independently while thriving in a collaborative, multidisciplinary consortium team.
• Fluency in English, both written and spoken.
• Proficiency in Dutch is strongly preferred, as you will visit patients at home; proficiency in Moroccan Arabic or Turkish is an additional advantage.

If you enjoy bringing biomechanics from the lab to the clinic and into people's homes, this postdoc is the perfect opportunity to make a real impact in home-based neurological monitoring.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

PhD Position in Digital Twins for Flood-Resilient Infrastructure

Job description

Current and future impact of flooding to critical infrastructure (e.g. dikes, bridges) is a major concern worldwide. Unfortunately, the management of flood-prone structures is extremely challenging because underlying processes are complex and uncertain. If our capacity to anticipate flood-induced impacts on infrastructure does not improve, societal and economic consequences are likely to be unsustainable.

Digital Twins (DTs) offer a promising opportunity to combine recent advances in modelling, data assimilation and machine learning. However, for DTs to support the management of flood-prone infrastructure, they must be effectively integrated with flood-risk modelling. The scientific challenge is to develop methods that enable Digital Twins to leverage multiple models, datasets and computational techniques to improve predictive capacity in real flood-risk contexts.

FlooDT (Digital Twin for flood-resilient infrastructure management) is a prestigious and ambitious project funded by NWO. It aims to develop a new methodological framework to exploit the capability of DTs for managing flood risk “from climate prediction to structure protection”. TU Delft is leading the project and a consortium that involves multiple universities (e.g. ETH Zurich, Univ. Polytechnica of Catalunya) and stakeholders (e.g. Deltares, Rijkswaterstaat). The project has also the support of the TU Delft Digital Competence Centre (DCC).

For this unique project we are seeking a motivated and talented PhD candidate for a 4-year appointment. In your role you will:

• Develop functional modules for Digital Twins, such as risk analysis, scenario modelling and processing of monitoring data.
• Develop hybrid (physics based/machine learning) modelling for flood risk.
• Apply and validate the Digital Twin functionalities for simplified representation of infrastructure (first) and real case studies (second).
• Implement the developed functionalities into end users' platforms.
• Co-organise workshops and co-coordinate stakeholder engagement (e.g. regular meetings, presentations, visits).

You will join the FlooDT team and the Flood Risk and Hydraulic Structures section, a collaborative and international team where curiosity, interdisciplinary research and scientific excellence are valued. Our section closely collaborates with the other sections within the Department of Hydraulic Engineering, other departments within our Faculty of Civil Engineering and Geoscience and many research groups around the world. We offer strong support for your professional growth, including mentoring, training, and ample opportunities for international collaboration and networking.

This position will open doors to exciting career opportunities in both academia and the future-facing companies that are shaping the next generation of digital technologies.

Job requirements
We are looking for an excellent, enthusiastic and inquisitive computational researcher who enjoys working in an international and multidisciplinary environment. You have:

• A MSc degree in Civil Engineering, Computer Science or Hydro-informatics (or in a related discipline).
• Demostrated experience in numerical modelling, hydrodynamic simulation and data management.
• Scientific and/or practical knowledge of machine learning.
• Excellent programming skills (e.g. in Python, SQL, Java, PyTorch, etc.).
• A critical, creative and pro-active approach to research, with distinctive problem-solving skills.
• Proven experience with writing scientific reports/publications.
• Confidence/willingness in engaging with partners and stakeholders.
• Excellent command of English (oral and written).

Previous internship experience with non-academic institutions is desiderable.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Civil Engineering and Geosciences
The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.