PhD Position in High-Fidelity Simulations of Innovative Offshore Wind Foundations

Job description

We are looking for a highly motivated and talented PhD researcher to join the RAPID-Wind project, which aims to develop a new computational framework for the design of advanced offshore wind turbine foundations in deep waters. As turbine sizes increase and installations move to greater depths, the offshore industry faces growing challenges related to wave loading, dynamic response, and fatigue. Perforated monopiles are a promising concept to reduce hydrodynamic loads and increase passive damping, but their design requires accurate simulation tools capable of resolving complex free-surface, multiscale flow–structure interactions. RAPID-Wind will develop a new computational modelling framework that enables high-fidelity simulations and real-time predictions by combining adaptive unfitted finite element methods, high-performance computing (HPC), and efficient surrogate models based on reduced-order modelling (ROM) and neural operators. Note that there is another PhD position within the project focusing on surrogate modelling; applicants with a primary interest in this topic are encouraged to apply via the corresponding link.

If selected, you will focus on developing the essential numerical foundations for robust simulation of free-surface flows interacting with offshore structures of complex geometry. In particular, you will advance the state of the art in adaptive mesh refinement and immersed boundary techniques to automatically resolve flow inside and around offshore wind foundations. This involves solving coupled fluid–structure interaction problems in free-surface flows. The methods and formulations developed in this PhD project will form the core of a scalable HPC simulation framework, which will be further extended in collaboration with a postdoctoral researcher. This simulation framework will also serve as the basis for developing the underlying problem formulation and for generating high-resolution simulation data for the development of surrogate models within the project.

You will join the Computational Multiphysics in Offshore Engineering (CMOE) group (https://tudelftcmoe.super.site/), a dynamic research team dedicated to developing state-of-the-art numerical methods for offshore renewable energy applications. The group specializes in computational modelling of fluid–structure interaction, wave–structure interaction, and mooring systems. Your PhD project will be co-supervised by Oriol Colomés, lead of the CMOE group, and Alexander Heinlein (https://searhein.github.io/), from the Numerical Analysis section at the Delft Institute of Applied Mathematics. You will be part of the Offshore Engineering section in the Hydraulic Engineering Department, working alongside leading experts in offshore energy. You will actively participate in regular group meetings, publish scientific articles, and present your work at national and international conferences. You will also contribute to teaching and supervision activities within the Faculty of Civil Engineering and Geosciences at Delft University of Technology.

A key aspect of this PhD project is close collaboration with industry partners to ensure that the research translates into real-world design practice. The research will be conducted in cooperation with companies and organizations leading the design and analysis of offshore wind foundations.

Job requirements
We are acutely aware that we are a diverse society and not every talented applicant will have had the same opportunities to advance their careers. We therefore pledge to fully account for any particular circumstances that the applicants disclose (e.g. parental leave, caring duties, part-time jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does not rely purely on common research metrics.

The successful applicant will have:

• A master's degree in Civil Engineering, Mechanical Engineering, Maritime Engineering, Applied Mathematics, Computer Science or another relevant domain.
• Basic knowledge of numerical methods for the solution of partial differential equations. Research experience with the finite element method is a plus.
• Good programming skills (Fortran/C++/Python/Julia), preferably in Julia.
• Knowledge in fluid-structure interaction problems, scientific computing and ocean energy technologies are considered a merit.
• Self-motivated, curiosity-driven, open to communicate and collaborate with peers.
• Excellent communications skills in English, both writing and speaking.
• Ability to work independently and self-driven in a multidisciplinary team

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught doctoral courses, and write scientific articles and a final thesis. For more details, please check the Graduate Schools Admission Requirements.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

2 PhD's Positions on Quantum Communication, Sensing and Simulation

We are looking for two motivated PhD candidates to join the Machado group and be at the forefront of theoretical research in quantum science. Our newly established team is actively engaged in advancing fundamental physics and using those learnings to help design new quantum experiments, devices and applications.

Job description
Our research spans several areas of quantum science, and we have two PhD positions available within these topics. Please indicate your preferred research topic in your application.

Quantum Communication and Distributed Quantum Computation

Future quantum technologies will rely on how effectively quantum devices can communicate and operate together. In this project, you will explore fundamental limits and opportunities in quantum communication protocols and the design of distributed quantum applications. Topics include quantum information theory (e.g. algorithms and error correction), distributed sensing and computation, and realistic modelling of quantum communication platforms.

Quantum Sensing

Coherent control of qubits enables new approaches to probing physical systems that can outperform classical approaches. In this research project you will investigate how qubit properties can be used to develop novel sensing and noise spectroscopy protocols, and how quantum algorithms can enhance information extraction from the environment. The goal is to develop theoretical insights that directly inform near-term experimental tools.

Quantum Simulation

Controlling many qubits coherently enables the study of complex many-body phenomena complementing traditional solid-state experiments. In this research project you will explore how quantum simulators provide new insights into long-standing problems and uncover new emergent behaviours, using analytical and numerical tools from quantum information, condensed matter, and AMO physics.

Although the positions are theoretical, they are closely connected to experimental collaborations within TU Delft and beyond, ensuring strong impact on the development and validation of quantum technologies.     

Requirements

• Master’s degree in physics, math, applied physics, engineering, or a related field.
• Strong background in theoretical quantum physics (e.g. quantum mechanics, quantum information, condensed matter, or AMO physics).
• Experience with analytical and/or numerical modelling; programming skills in a scientific language (e.g. Python, Julia).
• Excellent written and spoken English.
• Highly motivated for theoretical research with close interaction with experimental collaborators.
• Self-driven, curious, and able to work independently and in a team.

Will make you stand out:

• Knowledge of quantum information theory, quantum communication, sensing, or simulation.
• Experience with numerical many-body or quantum simulation methods.
• Interest in bridging theory and experiment in quantum technologies.

TU Delft
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

QuTech

QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet.

We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture, climate, and security. To achieve our ambitious goals, we bring scientists, engineers, and industry together in an inspiring environment, with plenty of room for ambition, entrepreneurship, and innovation.

PhD Position in High-Fidelity Simulations of Innovative Offshore Wind Foundations

Job description

We are looking for a highly motivated and talented PhD researcher to join the RAPID-Wind project, which aims to develop a new computational framework for the design of advanced offshore wind turbine foundations in deep waters. As turbine sizes increase and installations move to greater depths, the offshore industry faces growing challenges related to wave loading, dynamic response, and fatigue. Perforated monopiles are a promising concept to reduce hydrodynamic loads and increase passive damping, but their design requires accurate simulation tools capable of resolving complex free-surface, multiscale flow–structure interactions. RAPID-Wind will develop a new computational modelling framework that enables high-fidelity simulations and real-time predictions by combining adaptive unfitted finite element methods, high-performance computing (HPC), and efficient surrogate models based on reduced-order modelling (ROM) and neural operators. Note that there is another PhD position within the project focusing on surrogate modelling; applicants with a primary interest in this topic are encouraged to apply via the corresponding link.

If selected, you will focus on developing the essential numerical foundations for robust simulation of free-surface flows interacting with offshore structures of complex geometry. In particular, you will advance the state of the art in adaptive mesh refinement and immersed boundary techniques to automatically resolve flow inside and around offshore wind foundations. This involves solving coupled fluid–structure interaction problems in free-surface flows. The methods and formulations developed in this PhD project will form the core of a scalable HPC simulation framework, which will be further extended in collaboration with a postdoctoral researcher. This simulation framework will also serve as the basis for developing the underlying problem formulation and for generating high-resolution simulation data for the development of surrogate models within the project.

You will join the Computational Multiphysics in Offshore Engineering (CMOE) group (https://tudelftcmoe.super.site/), a dynamic research team dedicated to developing state-of-the-art numerical methods for offshore renewable energy applications. The group specializes in computational modelling of fluid–structure interaction, wave–structure interaction, and mooring systems. Your PhD project will be co-supervised by Oriol Colomés, lead of the CMOE group, and Alexander Heinlein (https://searhein.github.io/), from the Numerical Analysis section at the Delft Institute of Applied Mathematics. You will be part of the Offshore Engineering section in the Hydraulic Engineering Department, working alongside leading experts in offshore energy. You will actively participate in regular group meetings, publish scientific articles, and present your work at national and international conferences. You will also contribute to teaching and supervision activities within the Faculty of Civil Engineering and Geosciences at Delft University of Technology.

A key aspect of this PhD project is close collaboration with industry partners to ensure that the research translates into real-world design practice. The research will be conducted in cooperation with companies and organizations leading the design and analysis of offshore wind foundations.

Job requirements
We are acutely aware that we are a diverse society and not every talented applicant will have had the same opportunities to advance their careers. We therefore pledge to fully account for any particular circumstances that the applicants disclose (e.g. parental leave, caring duties, part-time jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does not rely purely on common research metrics.

The successful applicant will have:

• A master's degree in Civil Engineering, Mechanical Engineering, Maritime Engineering, Applied Mathematics, Computer Science or another relevant domain.
• Basic knowledge of numerical methods for the solution of partial differential equations. Research experience with the finite element method is a plus.
• Good programming skills (Fortran/C++/Python/Julia), preferably in Julia.
• Knowledge in fluid-structure interaction problems, scientific computing and ocean energy technologies are considered a merit.
• Self-motivated, curiosity-driven, open to communicate and collaborate with peers.
• Excellent communications skills in English, both writing and speaking.
• Ability to work independently and self-driven in a multidisciplinary team

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught doctoral courses, and write scientific articles and a final thesis. For more details, please check the Graduate Schools Admission Requirements.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

2 PhD's Positions on Quantum Communication, Sensing and Simulation

We are looking for two motivated PhD candidates to join the Machado group and be at the forefront of theoretical research in quantum science. Our newly established team is actively engaged in advancing fundamental physics and using those learnings to help design new quantum experiments, devices and applications.

Job description
Our research spans several areas of quantum science, and we have two PhD positions available within these topics. Please indicate your preferred research topic in your application.

Quantum Communication and Distributed Quantum Computation

Future quantum technologies will rely on how effectively quantum devices can communicate and operate together. In this project, you will explore fundamental limits and opportunities in quantum communication protocols and the design of distributed quantum applications. Topics include quantum information theory (e.g. algorithms and error correction), distributed sensing and computation, and realistic modelling of quantum communication platforms.

Quantum Sensing

Coherent control of qubits enables new approaches to probing physical systems that can outperform classical approaches. In this research project you will investigate how qubit properties can be used to develop novel sensing and noise spectroscopy protocols, and how quantum algorithms can enhance information extraction from the environment. The goal is to develop theoretical insights that directly inform near-term experimental tools.

Quantum Simulation

Controlling many qubits coherently enables the study of complex many-body phenomena complementing traditional solid-state experiments. In this research project you will explore how quantum simulators provide new insights into long-standing problems and uncover new emergent behaviours, using analytical and numerical tools from quantum information, condensed matter, and AMO physics.

Although the positions are theoretical, they are closely connected to experimental collaborations within TU Delft and beyond, ensuring strong impact on the development and validation of quantum technologies.     

Requirements

• Master’s degree in physics, math, applied physics, engineering, or a related field.
• Strong background in theoretical quantum physics (e.g. quantum mechanics, quantum information, condensed matter, or AMO physics).
• Experience with analytical and/or numerical modelling; programming skills in a scientific language (e.g. Python, Julia).
• Excellent written and spoken English.
• Highly motivated for theoretical research with close interaction with experimental collaborators.
• Self-driven, curious, and able to work independently and in a team.

Will make you stand out:

• Knowledge of quantum information theory, quantum communication, sensing, or simulation.
• Experience with numerical many-body or quantum simulation methods.
• Interest in bridging theory and experiment in quantum technologies.

TU Delft
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

QuTech

QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet.

We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture, climate, and security. To achieve our ambitious goals, we bring scientists, engineers, and industry together in an inspiring environment, with plenty of room for ambition, entrepreneurship, and innovation.

PhD Position Automated Design and Evaluation of 3D-Printed Hand and Wrist Medical Devices

Job description
You will be part of a multidisciplinary team and supervised by Drs. Nazli Tümer and Jie Zhou and Prof. Amir Zadpoor within the Department of Biomechanical Engineering at TU Delft. This position is supported by the Hand2Hand project, which is funded by the European Regional Development Fund (ERDF): https://interregvlaned.eu/hand2hand/over-ons. Your research will be conducted through close collaboration with the other 10 project partners in the Netherlands and Belgium.

There are many opportunities for you to grow your academic career through coursework, mentoring BSc/MSc Students, consortium participation, conference presentations, webinars/workshops, and teaching.

Diversity and Inclusion:

The TU Delft Faculty of Mechanical Engineering is committed to advancing diversity, equity, and inclusion. If you have a unique story that motivates you or drives your curiosity we would be delighted to hear it. We especially encourage applicants from underrepresented groups in science, technology and engineering .

TU Delft values a safe, inclusive and diverse work environment. To reinforce that, we have committed ourselves to the joint Statement Social Safety of the Association of Universities in the Netherlands and the National Action Plan for Diversity and Inclusion. We participate in a Social Safety Programme.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Job requirements
You should have:

• An MSc degree in Biomechanical Engineering or a closely related discipline by the start date of the position (March 2026)
• Experience in scientific programming (e.g., Python, Matlab)
• Experience in collecting experimental data, for example, through mechanical testing
• Experience in finite-element analysis
• Basic knowledge of and/or experience in AI-driven models
• The ability to manage multiple tasks effectively
• Excellent written and oral communication skills in English

The following aspects will help you stand out:

• The ability to thrive in a multidisciplinary research environment
• A self-motivated, proactive, and self-driven working attitude
• Curiosity-driven self-learning ability
• Written and oral communication skills in Dutch
• Knowledge of computer aided design
• Experience in medical image analysis and data processing

Keep in mind that this describes the background we imagine would best fit the role. Even if you do not meet all the requirements and feel that you are up for the task, we absolutely want to see your application! The PhD process is a learning experience.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.