Quality Assurance officer Lifelong Learning

Job Description

Join our small, dynamic Quality Assurance team (3 colleagues) within a broader Education Support team (25 professionals). In this role, you will collaborate closely with colleagues across education support, business teams, faculty coordinators, and teaching staff to strengthen and continuously improve our Lifelong Learning products.

You will be responsible for the effective implementation and continuous improvement of QA processes across institutional, portfolio, and course levels. Identify bottlenecks and policy gaps and help streamline workflows. Your job entails planning and monitoring evaluation cycles to ensure timely and consistent quality checks. You will review lifelong learning products against quality standards by analysing learner data, platform insights, and educational content, and turn them into actionable insights. Drawing on the results of all the evaluation activities carried out, you will prepare the quality assurance annual report in collaboration with the policy officer and present findings to a variety of stakeholders, including to management.

As a result, you will also proactively advise whether our QA system itself provides us with the right insight into the quality of education. You'll help shape improvements to our feedback methodologies and data collection approach. You will liaise closely with the data team to define reporting and dashboarding needs, and work with the policy officer to introduce relevant policies that improve the quality of our educational offer. In addition, you will support the Quality Assurance Board as Secretary and collaborate with the research team to define research questions that yield meaningful insights into the quality of our lifelong learning offer.

In this role you will act as a key connector across teams, ensuring that Lifelong learning programmes remain learner-centered, inclusive, and aligned with pedagogical principles. You monitor relevant developments in the higher education and lifelong learning sector and help incorporate them into improvements in our QA framework.

We offer a collaborative role at the intersection of quality assurance, data, and educational innovation within a well-established organization. We offer a hybrid work environment, expecting 60% of the time on campus at TU Delft.

Job requirements

• Degree in Education Sciences (or a similar)
• Proven experience in educational quality assurance, preferrably in Higher Education.
• Affinity with (online) lifelong learning education.
• Experience with education quality control, ICT tools for education and online teaching methods.
• Able to proactively provide guidance and advice for professionals, with proven experience of working on a project basis matured through prior work and/or education.
• Experience with process-oriented working approach is an advantage
• Persuasive with sensitivity: using the right arguments and examples for the specific stakeholders to get buy-in.
• Excellent oral and written communication skills in English and preferably in Dutch (or willingness to learn Dutch).
• Analytical, data-driven, able to put things into perspective, self-reliant and goal-oriented.
• You are sensitive to Diversity, Equity and Inclusion topics.
• You must be in possession of a work permit for the Netherlands

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.

TU Delft - Learning for Life Centre
Providing adult learners with quality and accessible learning opportunities for professional and personal development throughout their lifetime is the mission of the TU Delft Learning for Life Centre. It embodies the University’s commitment to this core task and guides all activities of our innovation-oriented organisation.

Together with the TU Delft faculties and external partners, we create and deliver courses, short programmes and other training solutions that help learners at various stages of their professional life. We help them stay on top of their game, whether they wish to broaden their skillset, master new competences or acquire further academic qualifications. We seek to empower professionals to deal with the technological transitions and societal challenges of today's world with the aim of building a better society together.

With over 4.5 million enrolments worldwide and several prestigious awards to its name, our organisation is passionate about realising its goals of making a positive impact on education, the lives of learners and the world at large.

The Learning for Life Centre (formerly Extension School for Continuing Education) is part of the University Corporate Office and reports directly to the Executive Board. Our international team of about 50 skilled, passionate colleagues comprises over ten different nationalities – Our culture is inclusive and very diverse!

Quality Assurance officer Lifelong Learning

Job Description

Join our small, dynamic Quality Assurance team (3 colleagues) within a broader Education Support team (25 professionals). In this role, you will collaborate closely with colleagues across education support, business teams, faculty coordinators, and teaching staff to strengthen and continuously improve our Lifelong Learning products.

You will be responsible for the effective implementation and continuous improvement of QA processes across institutional, portfolio, and course levels. Identify bottlenecks and policy gaps and help streamline workflows. Your job entails planning and monitoring evaluation cycles to ensure timely and consistent quality checks. You will review lifelong learning products against quality standards by analysing learner data, platform insights, and educational content, and turn them into actionable insights. Drawing on the results of all the evaluation activities carried out, you will prepare the quality assurance annual report in collaboration with the policy officer and present findings to a variety of stakeholders, including to management.

As a result, you will also proactively advise whether our QA system itself provides us with the right insight into the quality of education. You'll help shape improvements to our feedback methodologies and data collection approach. You will liaise closely with the data team to define reporting and dashboarding needs, and work with the policy officer to introduce relevant policies that improve the quality of our educational offer. In addition, you will support the Quality Assurance Board as Secretary and collaborate with the research team to define research questions that yield meaningful insights into the quality of our lifelong learning offer.

In this role you will act as a key connector across teams, ensuring that Lifelong learning programmes remain learner-centered, inclusive, and aligned with pedagogical principles. You monitor relevant developments in the higher education and lifelong learning sector and help incorporate them into improvements in our QA framework.

We offer a collaborative role at the intersection of quality assurance, data, and educational innovation within a well-established organization. We offer a hybrid work environment, expecting 60% of the time on campus at TU Delft.

Job requirements

• Degree in Education Sciences (or a similar)
• Proven experience in educational quality assurance, preferrably in Higher Education.
• Affinity with (online) lifelong learning education.
• Experience with education quality control, ICT tools for education and online teaching methods.
• Able to proactively provide guidance and advice for professionals, with proven experience of working on a project basis matured through prior work and/or education.
• Experience with process-oriented working approach is an advantage
• Persuasive with sensitivity: using the right arguments and examples for the specific stakeholders to get buy-in.
• Excellent oral and written communication skills in English and preferably in Dutch (or willingness to learn Dutch).
• Analytical, data-driven, able to put things into perspective, self-reliant and goal-oriented.
• You are sensitive to Diversity, Equity and Inclusion topics.
• You must be in possession of a work permit for the Netherlands

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.

TU Delft - Learning for Life Centre
Providing adult learners with quality and accessible learning opportunities for professional and personal development throughout their lifetime is the mission of the TU Delft Learning for Life Centre. It embodies the University’s commitment to this core task and guides all activities of our innovation-oriented organisation.

Together with the TU Delft faculties and external partners, we create and deliver courses, short programmes and other training solutions that help learners at various stages of their professional life. We help them stay on top of their game, whether they wish to broaden their skillset, master new competences or acquire further academic qualifications. We seek to empower professionals to deal with the technological transitions and societal challenges of today's world with the aim of building a better society together.

With over 4.5 million enrolments worldwide and several prestigious awards to its name, our organisation is passionate about realising its goals of making a positive impact on education, the lives of learners and the world at large.

The Learning for Life Centre (formerly Extension School for Continuing Education) is part of the University Corporate Office and reports directly to the Executive Board. Our international team of about 50 skilled, passionate colleagues comprises over ten different nationalities – Our culture is inclusive and very diverse!

Research Assistant in Agentic AI for Infrastructure Management

Job description

This position is part of the project Neuro-Symbolic AI for Infrastructure Management, which aims to develop explainable, adaptive, and trustworthy AI systems for infrastructure management under uncertainty. Infrastructure managers increasingly need to make reliable decisions in the context of climate change, ageing assets, fragmented data, and limited monitoring information. However, conventional AI methods often depend on large datasets and offer limited explainability, making them difficult to apply in safety-critical infrastructure decisions. This project addresses that gap by combining machine learning, structured domain knowledge, knowledge graphs, simulations, multi-agent systems, and reinforcement learning.

The (proposed) research assistant will support the development and testing of AI agents that can codify infrastructure management knowledge from standards, manuals, inspection reports, and other technical sources into machine-readable knowledge structures. They will also help develop and evaluate agentic AI systems that use this knowledge to reason, coordinate with simulations, and support decisions related to maintenance, inspection, resilience, and planning. The role will involve working with machine learning methods, knowledge graphs, large language or concept models, multi-agent systems, and decision-support workflows.

The successful candidate will work within the Integral Design and Management Section of the 3MD Department, Faculty of Civil Engineering and Geosciences, TU Delft, and will be associated with the DigiConstruct Lab. The position is suited to someone with a strong interest in machine learning and infrastructure management, and offers opportunities to contribute to prototypes, case studies, publications, and scientific papers.

Job requirements

• A completed or ongoing MSc degree in a relevant field, such as Computer Science, Data Science, Artificial Intelligence, Civil Engineering, Construction Management, Infrastructure Management, or a closely related discipline.
• A strong interest in working at the intersection of artificial intelligence and the built environment, particularly in infrastructure and asset management, or digital twins.
• A suitable profile may include either a computer science, data science, or AI background with an interest in infrastructure systems, or a civil engineering, architecture, or construction management background with a strong interest in AI and computational methods.
• Demonstrated experience with, or clear motivation to work on, one or more of the following areas: agentic AI systems, knowledge graphs, large language or concept models, machine learning, infrastructure management datasets, simulation-based decision support, multi-agent systems, or reinforcement learning.
• Good programming skills, preferably in Python, and familiarity with tools or libraries used for machine learning, data analysis, semantic modelling, knowledge graphs, or AI system development.
• Experience with data processing, data structuring, or working with heterogeneous technical datasets, such as standards, manuals, inspection reports, infrastructure records, or simulation outputs, is desirable.
• Knowledge of infrastructure management, construction management, asset management, or decision-making processes in the built environment is desirable, but not essential.
• Awareness of FAIR research principles, including the ability or willingness to work with research data, code, models, and documentation in a way that supports findability, accessibility, interoperability, and reusability.
• A willingness to learn new algorithms, tools, and developments in AI, including neuro-symbolic AI, knowledge graph-based reasoning, agentic AI, and reinforcement learning.
• A critical, creative, and proactive approach to research, with good analytical and problem-solving skills.
• Good written and verbal communication skills in English, with the ability to document technical work clearly and contribute to academic outputs.
• Demonstrated experience in academic writing, technical reporting, literature review, or preparation of research papers is an advantage.
• Ability to work both independently and collaboratively in an interdisciplinary research environment involving AI, infrastructure management, digital twins, and decision-support systems.
• Motivation to contribute to prototypes, case studies, datasets, research publications, and the broader activities of the DigiConstruct Lab and the Integral Design and Management Section at TU Delft.

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.

PhD Position in River Basin Hydrology: Climate Change & Hydrological Extremes

Job description

Climate change leads to shifts in the magnitudes and timing of precipitation and atmospheric water demand, i.e. potential evaporation. This will directly affect soil moisture, groundwater dynamics and eventually streamflow. In addition, these changes will have cascading effects on vegetation that adapts to new conditions. As vegetation regulates the fraction of available water that is released into the atmosphere as evapotranspiration, these adaptations will feed back and either amplify or moderate the direct effects of climate change on soil moisture, groundwater and streamflow. These feedbacks and their effects on extreme events, such as floods and droughts but also on seasonal water supply are poorly understood and not accounted for in current-generation hydrological models.

The PhD research project will address these issues for more reliable hydrological predictions with a focus on the Rhine-Meuse river basin, aiming (1) to quantify natural vegetation adaptation to a changing climate, (2) to further develop the wFlow-SBM hydrological model to account for these changes with a time-variable vegetation parametrization and to (3) use this model to quantify and analyze the effects of changing vegetation on predictions of soil moisture, groundwater and streamflow under a changing climate in the Rhine-Meuse system.

In this project you will work in close collaboration with Rijkswaterstaat RWS (Dutch Ministry of Infrastructure and Water Management) and the industry project partner Deltares. At TU Delft, you will be hosted by the Water Management Department in the Faculty of Civil Engineering and Geosciences and the supervision team at TU Delft will be led by Prof. Markus Hrachowitz.

Job requirements

• MSc degree in Hydrology, Environmental Engineering, Civil Engineering or a related field
• Excellent computer programming and GIS skills
• Proficiency in written and spoken English (Dutch language is an advantage)
• Demonstrated interest in and enthusiasm for interdisciplinary approaches, linking plant physiology, soil science and geology to hydrology.

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.

The Faculty of Civil Engineering & 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.

Postdoc Multi-Agent Aerial Manipulation for Construction 2

Job description
Advancement of aerial robotics are reshaping the future of construction. In the HARPA project funded by the EIC Pathfinder Challenge, you will explore how heterogeneous aerial robotics teams can collaboratively and autonomously assemble a pavilion. Together with other team members and collaborators from TUM and ETH, at the end of the project will perform a real-world demonstration of the autonomous assembly of a pre-fabricated pavilion using a team of aerial robots.

HARPA is looking for a highlyg motivated and competent postdoctoral researcher.

You will develop task-level planning and coordination methods for heterogeneous aerial robotic teams composed of Cable-Suspended Aerial Multi-Lifting Systems (CAMLs) and Aerial Robotic Manipulators (ARMs). The research will address fundamental challenges in multi-agent planning under heterogeneous robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical constraints of aerial manipulation and cooperative construction, enabling robotic teams to reason not only about what tasks to perform, but also about when, how, and by which robotic platform they should be executed.

In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry, and construction-task constraints, supporting real-time 3D visualization, human monitoring, algorithm testing, and pre-assembly validation. The platform will serve both as a research environment for developing and benchmarking planning algorithms, and as a system-level validation tool before real-world deployment.

By the end of the contract, the postdoctoral researcher is expected to play a leading role in enabling coordinated collaboration between CAMLs and ARMs for the assembly of prefabricated building submodules. The candidate will be encouraged to publish in leading robotics venues, help shape the research direction of task-level planning for heterogeneous aerial construction systems and collaborate with other team members. The position offers the opportunity to contribute to both high-impact academic research and a large-scale robotic construction demonstration within an international EU project.

The position is available with a flexible start date to be agreed upon. The postdoctoral researcher will join the Autonomous Multi-Robots Lab at the Cognitive Robotics Department and will be supervised by Dr. Sihao Sun and Prof. Javier Alonso-Mora. You will also have the chance to collaborate and visit our partners from ETH Zurich and TU Munich. As part of the postdoctoral position, there will be opportunities to gain teaching experience in the relevant courses and/or supervising MSc and PhD students.

More information about our research group can be found at: https://autonomousrobots.nl/

Job requirements
We are looking for a candidate with:

• A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical Engineering, Computer Science, or a closely related field.
• A strong research background in one or more of the following areas: multi-agent planning and coordination, task and motion planning, robot autonomy, aerial robotics, robotic manipulation, optimal control, robot learning, or human-robot interaction.
• Experience with developing planning, control, or coordination algorithms for robotic systems, preferably with consideration of dynamic constraints, perception uncertainty, contact interactions, or real-world deployment.
• Strong programming skills in C++ and/or Python, with experience in robotic software development using ROS and/or ROS 2.
• Experience with simulation environments, digital twins, or physics-based robotic simulators, such as Isaac Sim, Newton, MuJoCo, PyBullet, or similar platforms.
• A demonstrated ability to conduct independent research, publish in peer-reviewed venues, and contribute to high-quality scientific outputs.
• Excellent problem-solving skills and the ability to work in an interdisciplinary team involving robotics, control, perception, simulation, and experimental validation.
• Strong communication skills in English, both written and spoken.    

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.