Hoger Veiligheidskundige

Functieomschrijving

Bij de TU Delft staan gezondheid, veilig werken en het welzijn van medewerkers en studenten hoog in het vaandel. De afdeling Health, Safety & Environment (HSE) speelt een cruciale rol in het adviseren en ondersteunen van de organisatie op dit gebied. De afdeling HSE bestaat uit 16 gedreven professionals, die werkzaam zijn als HSE adviseur (veiligheidskundigen en arbeidshygiënisten), biologisch veiligheidsfunctionaris, arbeids- en organisatiedeskundige, verzuimregisseurs, projectleiders uitvoering participatiewet, projectleider op het gebied van vitaliteit en managementassistent. Daarnaast is de bedrijfszorg door een extern gecontracteerde arbodienst en bedrijfsmaatschappelijk werk in onze afdeling ondergebracht.

Als HSE adviseur maak je samen met zeven collega's deel uit van het HSE adviesteam. Je werkt vanuit dit team zowel voor en op locatie van de faculteit(en) en dienst(en), als aan TU brede beleidsstukken op het gebied van arbeidsomstandigheden. De HSE adviseur werkt samen met faculteiten en diensten op het brede terrein van veiligheid, het optimaliseren van de arbeidsomstandigheden ter voorkoming van onveilige situaties, ongevallen en mogelijke gezondheidsschade. De HSE adviseur is de aangewezen specialist op het terrein van risicobeoordeling en risicobeheersing van de werkomgeving.

De komende jaren ligt de focus op verdere professionalisering van de afdeling HSE. Een belangrijk aandachtsgebied hierin is de versterking van de TU brede organisatie op HSE gebied waaraan we gezamenlijk met ketenpartners uit andere diensten (integrale veiligheid, vastgoed en facility management) en faculteiten zullen werken. De HSE adviseur is in staat om een goede balans te vinden tussen het werken aan TU brede onderwerpen en het werken voor de account(s). Daarbij vinden we het belangrijk dat de HSE adviseur zich voortdurend professionaliseert en ontwikkelt in het vakgebied en in vaardigheden.

Functie-eisen

• Je hebt een afgeronde opleiding Hogere Veiligheidskundige en je bent bij voorkeur gecertificeerd.
• Een aanvullend specialisme zoals biologische veiligheid, arbeids- en organisatiedeskundigheid, arbeidshygiëne, gevaarlijke stoffen of milieu is een pré.
• Je hebt minstens 5 jaar aantoonbare werkervaring op het gebied van veiligheidskundige vraagstukken, bij voorkeur in grote complexe organisaties.
• Je hebt ervaring met RI&E’s in dynamische omgevingen, bij voorkeur in onderzoeksomgevingen zoals laboratoria en werkplaatsen.
• Je haalt energie uit adviseren en creëren van draagvlak, je bent goed in plannen en organiseren, onderzoek en analyse, voorlichting en instructie.
• Je vindt het leuk om je te bewegen tussen strategisch, tactisch en operationeel niveau.
• Je beheerst het Nederlands en Engels goed, mondeling en schriftelijk.

Deze functie vraagt om een deskundige die inhoud combineert met organisatiesensitiviteit en veranderkracht.

Herken je jezelf in dit profiel, maar voldoe je niet volledig aan alle eisen? Ook dan nodigen we je uit om te reageren.

TU Delft
Werken bij TU Delft betekent bijdragen aan oplossingen die er echt toe doen.

Al meer dan 180 jaar leiden we ingenieurs op die wereldwijd impact maken bij bedrijven, overheden of als ondernemer. Onze alumni zetten kennis om in concrete oplossingen voor de uitdagingen van vandaag en morgen. Die uitdagingen veranderen snel. Daarom werken we elke dag aan thema’s zoals energie, klimaat, digitalisering, AI en slimme mobiliteit. Ons onderwijs en onderzoek sluiten direct aan op wat de samenleving nodig heeft, nu en straks.

Bij TU Delft maken mensen het verschil. Met hun kennis en nieuwsgierigheid zorgen zij voor sterk onderwijs, vernieuwend onderzoek en innovaties die verder komen dan de campus. Je krijgt de ruimte om initiatief te nemen, samen te werken en jezelf te ontwikkelen. Wie bij TU Delft werkt, sluit zich aan bij een internationale community van professionals en studenten. Samen bouwen we aan kennis, innovatie en oplossingen die de wereld vooruithelpen.

Universiteitsdienst – Human Resources
Om haar strategische doelstellingen te realiseren zet de TU Delft in op het aantrekken en ontwikkelen van ambitieuze en getalenteerde medewerkers. Het personeelsbeleid is gericht op recruitment en de ontwikkeling van talent, leiderschap en de organisatie, en draagt bij aan de versterking van onderwijs, onderzoek en valorisatie. Een veilige, uitdagende en betekenisvolle werkomgeving staat voorop. Hieraan draagt de HR-organisatie bij met de medewerkers van HR Advies die werken bij de faculteiten en de Universiteitsdienst (de ondersteunende diensten) op locatie, en daarnaast met de centrale HR-diensten van de afdelingen HR Talent & Development, Health Safety Environment (HSE), Compensation & Benefits en HR Services.

Hoger Veiligheidskundige

Functieomschrijving

Bij de TU Delft staan gezondheid, veilig werken en het welzijn van medewerkers en studenten hoog in het vaandel. De afdeling Health, Safety & Environment (HSE) speelt een cruciale rol in het adviseren en ondersteunen van de organisatie op dit gebied. De afdeling HSE bestaat uit 16 gedreven professionals, die werkzaam zijn als HSE adviseur (veiligheidskundigen en arbeidshygiënisten), biologisch veiligheidsfunctionaris, arbeids- en organisatiedeskundige, verzuimregisseurs, projectleiders uitvoering participatiewet, projectleider op het gebied van vitaliteit en managementassistent. Daarnaast is de bedrijfszorg door een extern gecontracteerde arbodienst en bedrijfsmaatschappelijk werk in onze afdeling ondergebracht.

Als HSE adviseur maak je samen met zeven collega's deel uit van het HSE adviesteam. Je werkt vanuit dit team zowel voor en op locatie van de faculteit(en) en dienst(en), als aan TU brede beleidsstukken op het gebied van arbeidsomstandigheden. De HSE adviseur werkt samen met faculteiten en diensten op het brede terrein van veiligheid, het optimaliseren van de arbeidsomstandigheden ter voorkoming van onveilige situaties, ongevallen en mogelijke gezondheidsschade. De HSE adviseur is de aangewezen specialist op het terrein van risicobeoordeling en risicobeheersing van de werkomgeving.

De komende jaren ligt de focus op verdere professionalisering van de afdeling HSE. Een belangrijk aandachtsgebied hierin is de versterking van de TU brede organisatie op HSE gebied waaraan we gezamenlijk met ketenpartners uit andere diensten (integrale veiligheid, vastgoed en facility management) en faculteiten zullen werken. De HSE adviseur is in staat om een goede balans te vinden tussen het werken aan TU brede onderwerpen en het werken voor de account(s). Daarbij vinden we het belangrijk dat de HSE adviseur zich voortdurend professionaliseert en ontwikkelt in het vakgebied en in vaardigheden.

Functie-eisen

• Je hebt een afgeronde opleiding Hogere Veiligheidskundige en je bent bij voorkeur gecertificeerd.
• Een aanvullend specialisme zoals biologische veiligheid, arbeids- en organisatiedeskundigheid, arbeidshygiëne, gevaarlijke stoffen of milieu is een pré.
• Je hebt minstens 5 jaar aantoonbare werkervaring op het gebied van veiligheidskundige vraagstukken, bij voorkeur in grote complexe organisaties.
• Je hebt ervaring met RI&E’s in dynamische omgevingen, bij voorkeur in onderzoeksomgevingen zoals laboratoria en werkplaatsen.
• Je haalt energie uit adviseren en creëren van draagvlak, je bent goed in plannen en organiseren, onderzoek en analyse, voorlichting en instructie.
• Je vindt het leuk om je te bewegen tussen strategisch, tactisch en operationeel niveau.
• Je beheerst het Nederlands en Engels goed, mondeling en schriftelijk.

Deze functie vraagt om een deskundige die inhoud combineert met organisatiesensitiviteit en veranderkracht.

Herken je jezelf in dit profiel, maar voldoe je niet volledig aan alle eisen? Ook dan nodigen we je uit om te reageren.

TU Delft
Werken bij TU Delft betekent bijdragen aan oplossingen die er echt toe doen.

Al meer dan 180 jaar leiden we ingenieurs op die wereldwijd impact maken bij bedrijven, overheden of als ondernemer. Onze alumni zetten kennis om in concrete oplossingen voor de uitdagingen van vandaag en morgen. Die uitdagingen veranderen snel. Daarom werken we elke dag aan thema’s zoals energie, klimaat, digitalisering, AI en slimme mobiliteit. Ons onderwijs en onderzoek sluiten direct aan op wat de samenleving nodig heeft, nu en straks.

Bij TU Delft maken mensen het verschil. Met hun kennis en nieuwsgierigheid zorgen zij voor sterk onderwijs, vernieuwend onderzoek en innovaties die verder komen dan de campus. Je krijgt de ruimte om initiatief te nemen, samen te werken en jezelf te ontwikkelen. Wie bij TU Delft werkt, sluit zich aan bij een internationale community van professionals en studenten. Samen bouwen we aan kennis, innovatie en oplossingen die de wereld vooruithelpen.

Universiteitsdienst – Human Resources
Om haar strategische doelstellingen te realiseren zet de TU Delft in op het aantrekken en ontwikkelen van ambitieuze en getalenteerde medewerkers. Het personeelsbeleid is gericht op recruitment en de ontwikkeling van talent, leiderschap en de organisatie, en draagt bij aan de versterking van onderwijs, onderzoek en valorisatie. Een veilige, uitdagende en betekenisvolle werkomgeving staat voorop. Hieraan draagt de HR-organisatie bij met de medewerkers van HR Advies die werken bij de faculteiten en de Universiteitsdienst (de ondersteunende diensten) op locatie, en daarnaast met de centrale HR-diensten van de afdelingen HR Talent & Development, Health Safety Environment (HSE), Compensation & Benefits en HR Services.

PhD Position: Safe Planning and Decision-Making under Uncertainty for Long-Horizon Robot Autonomy

Job description

Robots that operate for long periods among people must plan beyond the next few seconds while staying safe. They need to predict how their surroundings and the people in them will evolve, know how reliable these predictions are, and adapt their plans when the predictions fail. In the EU-funded OPERA project, TU Delft contributes to General-Purpose AI for robotics by developing methods that combine fast, reactive behavior with more deliberate reasoning, planning, and decision-making.

In this PhD position, you will develop planning and decision-making methods that let robots act safely and reliably over long time horizons when their knowledge of the environment and of the people around them is incomplete. The research sits at the intersection of model-based planning and control and learning-based models, and addresses the trade-off between safety, performance, and real-time computation. You will formulate the methods and analyze their guarantees and failure modes. This research is connected to OPERA's tasks on GPAI-powered planning and decision-making, on long-term reasoning in human-centered environments, and on adaptive human-robot and robot-environment interaction.

Depending on your background, the work may draw on optimal control and model predictive control, motion planning, probabilistic modeling and estimation, or learning-based methods. The emphasis is on methods with a clear formulation and well-understood failure modes, validated in simulation and on real robots.

You will work in the Cognitive Robotics Department at TU Delft under the supervision of Prof. Robert Babuška and Dr. Laura Ferranti, and you will be embedded in the Reliable Robot Control Lab (https://r2clab.com/). You will collaborate with OPERA partners across Europe on simulation, perception, and the OPERA open-source toolbox.

Job requirements
The ideal candidate for this PhD position has a strong background in control, optimization, or motion planning and is motivated by the question of how robots can plan safely and reliably over long time horizons. We welcome applicants from all backgrounds who want to work at the intersection of planning, control, and learning.

You have:

• An MSc degree in Systems and Control, Robotics, Applied Mathematics, or a closely related field.
• A strong interest in safe planning and decision-making for robots, at the intersection of planning, control, and learning.
• A passion for rigorous, theoretically grounded research, combined with an eagerness to validate ideas in simulation and on real robots.
• Strong analytical and mathematical skills, in particular in optimization, probability and statistics, and dynamical systems.
• Excellent communication skills and proficiency in English (written and verbal), as required for academic publication and international collaboration.

You are particularly encouraged to apply if you have experience in one or more of the following areas:

• Hands-on experience implementing optimization-based planners or controllers (e.g., model predictive control with acados or CasADi) in C++ or Python.
• Safe or robust control and planning under uncertainty.
• Learned dynamics or prediction models, model-based reinforcement learning.
• Uncertainty quantification, probabilistic or Bayesian modeling, state estimation.
• Long-horizon or hierarchical planning, prediction of human or multi-agent behavior.
• Real-robot deployment with ROS or ROS 2.

As part of OPERA, you will travel to meet and collaborate with the project’s European partners and attend regular consortium meetings.

We particularly encourage applications from women and other underrepresented groups, as we are committed to building a diverse and inclusive research environment.        

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: Safe Planning and Decision-Making under Uncertainty for Long-Horizon Robot Autonomy

Job description

Robots that operate for long periods among people must plan beyond the next few seconds while staying safe. They need to predict how their surroundings and the people in them will evolve, know how reliable these predictions are, and adapt their plans when the predictions fail. In the EU-funded OPERA project, TU Delft contributes to General-Purpose AI for robotics by developing methods that combine fast, reactive behavior with more deliberate reasoning, planning, and decision-making.

In this PhD position, you will develop planning and decision-making methods that let robots act safely and reliably over long time horizons when their knowledge of the environment and of the people around them is incomplete. The research sits at the intersection of model-based planning and control and learning-based models, and addresses the trade-off between safety, performance, and real-time computation. You will formulate the methods and analyze their guarantees and failure modes. This research is connected to OPERA's tasks on GPAI-powered planning and decision-making, on long-term reasoning in human-centered environments, and on adaptive human-robot and robot-environment interaction.

Depending on your background, the work may draw on optimal control and model predictive control, motion planning, probabilistic modeling and estimation, or learning-based methods. The emphasis is on methods with a clear formulation and well-understood failure modes, validated in simulation and on real robots.

You will work in the Cognitive Robotics Department at TU Delft under the supervision of Prof. Robert Babuška and Dr. Laura Ferranti, and you will be embedded in the Reliable Robot Control Lab (https://r2clab.com/). You will collaborate with OPERA partners across Europe on simulation, perception, and the OPERA open-source toolbox.

Job requirements
The ideal candidate for this PhD position has a strong background in control, optimization, or motion planning and is motivated by the question of how robots can plan safely and reliably over long time horizons. We welcome applicants from all backgrounds who want to work at the intersection of planning, control, and learning.

You have:

• An MSc degree in Systems and Control, Robotics, Applied Mathematics, or a closely related field.
• A strong interest in safe planning and decision-making for robots, at the intersection of planning, control, and learning.
• A passion for rigorous, theoretically grounded research, combined with an eagerness to validate ideas in simulation and on real robots.
• Strong analytical and mathematical skills, in particular in optimization, probability and statistics, and dynamical systems.
• Excellent communication skills and proficiency in English (written and verbal), as required for academic publication and international collaboration.

You are particularly encouraged to apply if you have experience in one or more of the following areas:

• Hands-on experience implementing optimization-based planners or controllers (e.g., model predictive control with acados or CasADi) in C++ or Python.
• Safe or robust control and planning under uncertainty.
• Learned dynamics or prediction models, model-based reinforcement learning.
• Uncertainty quantification, probabilistic or Bayesian modeling, state estimation.
• Long-horizon or hierarchical planning, prediction of human or multi-agent behavior.
• Real-robot deployment with ROS or ROS 2.

As part of OPERA, you will travel to meet and collaborate with the project’s European partners and attend regular consortium meetings.

We particularly encourage applications from women and other underrepresented groups, as we are committed to building a diverse and inclusive research environment.        

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.