Begraafplaatsmedewerker

Als Begraafplaatsmedewerker zorg jij dat alles rondom een begrafenis professioneel en respectvol verloopt. Jij en je collega’s zorgen ervoor dat graven tijdig worden gedolven en gesloten, dat het terrein netjes en veilig is en dat nabestaanden kunnen rekenen op een waardige laatste rustplaats.

Dit is geen standaard groenfunctie. Dit is werk met betekenis.

Je werkt buiten. In weer en wind. Met collega’s die op elkaar kunnen bouwen en die begrijpen dat dit werk vraagt om respect, precisie en samenwerking.

Wat ga je doen?

• Graven delven en sluiten, met machines én handmatig;
• Werken met graafmachine, shovel en ander materieel;
• Uitvoeren van groenonderhoud (maaien, snoeien, opruimen);
• Ondersteunen bij uitvaarten en voorlopen;
• Zorgen dat de begraafplaats altijd netjes, veilig en representatief is;
• Je draait mee in een weekendrooster met wachtdiensten. Dat hoort bij dit werk.

Over ons
Deze afdeling valt onder het cluster Stadsbeheer (Uitvoering Werken) en beheert elf gemeentelijke begraafplaatsen en crematorium Hofwijk.

Je werkt voornamelijk op de Zuiderbegraafplaats en soms op andere begraafplaatsen in Rotterdam. Je komt terecht in een team van ongeveer 60 collega’s binnen de afdeling Begraven en Cremeren.

Je komt terecht in een hecht team van aanpakkers dat samen werk verricht met echte maatschappelijke betekenis. Je werkt met moderne machines en goed materieel, zodat je jouw vak professioneel en veilig kunt uitvoeren. Daarbij krijg je volop mogelijkheden om je verder te ontwikkelen en door te groeien. En misschien wel het mooiste: je ziet elke dag direct het resultaat van jouw inzet terug op een verzorgde en respectvolle omgeving.

Wij vervullen een eervol beroep. Bezoekers zijn dankbaar voor de zorg en aandacht waarmee wij hun dierbaren een laatste rustplaats geven. Tegelijkertijd is de begraafplaats een visitekaartje voor de stad als het gaat om groen en onderhoud.
Daar zijn we trots op. En daar draag jij aan bij.
Dit werk is niet voor iedereen. Maar als het bij je past, wil je niets anders.

PhD in Smart Nudges: Context-Aware Monitoring for Patient Safety on Hospital Wards

Introduction
Catharina Ziekenhuis, Philips and Eindhoven University of Technology collaborate closely within the Eindhoven MedTech Innovation Center (e/MTIC). Within this ecosystem, technological innovations are developed to improve healthcare for the future. Dozens of PhD candidates work within e/MTIC together with clinicians, engineers, and researchers on cutting-edge research in medical technology and data-driven healthcare.

Within this collaboration, we are looking for a clinical PhD candidate (0.5 FTE, 4 years) for the research project “Smart Nudges: Context-Aware Monitoring for Patient Safety on Hospital Wards.”

Job Description
In this PhD project, you will work on the development and evaluation of context-aware patient monitoring on hospital wards and potentially also in the intensive care unit.

In current clinical practice, vital signs are often measured at fixed intervals, for example during routine checks. This approach may lead to missed early signs of clinical deterioration or, conversely, unnecessary measurements and alarm fatigue.

In this project, we investigate how artificial intelligence (AI) can be used to generate so-called “smart nudges”: intelligent triggers indicating when it is appropriate to perform additional clinical measurements, such as non-invasive blood pressure (NIBP) measurements, ECG diagnostics, or additional laboratory tests.

The algorithms will use information from multiple sources, such as:

• ECG signals
• photoplethysmography (PPG) from wearable devices
• trends in vital signs
• patient context (for example mobility or symptoms)
• clinical data from the electronic medical record

By combining these data sources, the system can trigger additional diagnostics at the right moment, with the aim of:

• earlier detection of clinical deterioration
• reducing unnecessary measurements and alarms
• improving clinical decision-making
• reducing workload for healthcare professionals
• improving the patient experience

As a clinical PhD candidate, you will mainly focus on the clinical implementation and evaluation of this technology. You will work closely with a technical PhD candidate, who will focus on the development of the algorithms and data analysis.

During the project you will collaborate with researchers and clinicians from Philips Research, Eindhoven University of Technology, and Catharina Hospital.

Your responsibilities will include:

• analysing current monitoring processes and clinical workflows
• collecting and analysing clinical data (including vital signs, ECG, PPG, and patient data)
• defining clinical use cases for context-aware measurements
• contributing to the development and validation of AI algorithms for monitoring
• setting up and conducting clinical pilot studies
• evaluating the impact on clinical decision-making, alarm burden, and workflow
• publishing research results in scientific journals and presenting at conferences

Job Requirements

• You have completed an academic degree in Medicine, Technical Medicine, Qualified Medical Engineering, or Biomedical Engineering.
• You have an interest in digital healthcare innovation, patient monitoring, and AI applications in clinical practice.
• Experience with clinical research or data analysis is considered an advantage.
• You enjoy working in multidisciplinary teams with clinicians, engineers, and researchers.
• You have strong communication skills and can collaborate across disciplines.
• You have good organizational skills and are able to independently plan and manage research activities.
• You have a good command of both Dutch and English.

Conditions of Employment
You will receive a 0.5 FTE PhD appointment for a period of four years, with the goal of obtaining a PhD degree at Eindhoven University of Technology.

The remaining 0.5 FTE may be filled with clinical duties, in consultation with the Department of Anesthesiology, Intensive Care, and Pain Medicine at Catharina Hospital. Depending on your background and experience, these activities may include:

• working at the preoperative outpatient clinic (POS)
• clinical work at the Intensive Care Unit
• other suitable clinical tasks within the department

During your PhD, you will be supervised by a multidisciplinary team of clinicians, engineers, and researchers from Catharina Hospital, Philips, and TU/e.

Employment conditions at the hospital are in accordance with the Collective Labour Agreement for Hospitals (CAO ziekenhuizen). Salary grading (FWG 50–55, max €4,391) will be based on experience. In addition, we offer a Flexible Benefits System, which allows you to tailor your employment package, for example by adding extra leave or tax advantages.

About us
About the Institutions

Catharina Hospital
Working at Catharina Ziekenhuis means working in an open, welcoming, and highly professional environment. It is a top clinical teaching hospital with strong ambitions, where both patients and employees come first. At Catharina Hospital you will experience the enthusiasm and dedication of more than 3,000 colleagues every day.

Eindhoven University of Technology
In addition to Catharina Hospital, you will also be integrated into the Biomedical Diagnostics Lab, within the Signal Processing Systems group of the Department of Electrical Engineering at Eindhoven University of Technology. This group conducts research in signal processing, data analysis, and medical technology, and collaborates closely with clinical and industrial partners.

Philips
Philips is a leading health technology company focused on improving people’s health and enabling better care outcomes across the entire health continuum, from prevention and diagnosis to treatment and home care.

Within this project, you will collaborate closely with Philips researchers working on patient monitoring, medical data analysis, and AI applications in healthcare.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Igor Paulussen, i.w.f.paulussen@tue.nl.

Visit our website for more information about the application process. You can also contact Prof.Dr. R. Arthur Bouwman (Anesthesioloog), Arthur.bouwman@catharinaziekenhuis.nl, 040-239 8500.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Optimizing patient transition indications through multiparametric sensing

Introduction
The Catharina Hospital, Philips, and the Eindhoven University of Technology (TU/e) work closely together within the Eindhoven MedTech Innovation Center (e/MTIC). This ecosystem focuses on developing advanced technological innovations to ensure excellent patient care in the future. Within e/MTIC, dozens of PhD candidates conduct groundbreaking research in collaboration with clinics, Philips, and TU/e. For the program “Medical Innovation and Research Advancing Clinical Learning and Excellence” (MIRACLE), there is now a vacancy for a clinical PhD candidate (full-time, 38 hours).

Job Description
In this PhD project, you will work on “Optimizing patient transition indications through multiparametric sensing.” The goal of this research is to develop and evaluate an automated multiparameter monitoring system for ambulatory patients. This system aims to support medical professionals in decisions regarding patient transitions between care levels, while optimizing staff workflow by replacing sample-based measurements with continuous, actionable insights.

The challenges of rising healthcare costs and staff shortages require more efficient use of resources. Crucial to this is the timely transfer of patients to the appropriate level of care: to lower care when recovering and to higher care when deteriorating. The use of artificial intelligence (AI) provides opportunities to automate measurements and predictions regarding patient health. AI can process data from multiple sources, detect changes in patient condition more quickly, and reduce clinical staff workload. However, practical application of AI in clinical practice remains limited. Key challenges include providing clinical evidence for AI model benefits and integrating these models into existing workflows.

As a clinical PhD candidate, you will collect data, analyze bottlenecks in current patient transitions, and assess the applicability of AI models in practice. You will work closely with a technical PhD candidate responsible for developing the multiparameter data collection system and the algorithms that monitor patient health changes. This system will serve as the basis for decisions regarding patient transitions. Additionally, the technical PhD candidate will, based on your findings, explore options to reduce false alarms and improve data quality.

During your research, you will collaborate with leading institutions such as Philips Research, TU Eindhoven, and Catharina Hospital Eindhoven.

Job Requirements

• You have a completed academic degree in Medicine, Technical Medicine, or Biomedical Engineering.
• Experience in clinical research and working in multidisciplinary teams is a strong advantage.
• You have experience setting up research databases and performing data analysis.
• You are motivated and have a demonstrable interest in monitoring and decision support technologies.
• In this research, you will work closely with healthcare professionals and other stakeholders, so excellent social and communication skills are essential. You can easily switch between different levels and maintain a broad network.
• Organizational skills are crucial: you can monitor the progress of research, meet deadlines, and take responsibility for your part of the project.
• You are proficient in both Dutch and English.

Conditions of Employment
You will be appointed for 3 years with the aim of obtaining a PhD at Eindhoven University of Technology (TU/e). You will combine your research activities with clinical work at the preoperative outpatient clinic of the Anesthesiology, Intensive Care, and Pain Medicine departments. Depending on your clinical experience, you may conduct preoperative consultations independently under the supervision of an anesthesiologist.

For your PhD research, you will be supervised by Prof. Dr. R.A. Bouwman and a multidisciplinary team of experts. You will be employed by Catharina Hospital (0.5 FTE) and by TU/e (0.5 FTE) to facilitate collaboration with the university.

Employment conditions at the hospital are in accordance with the Collective Labour Agreement for Hospitals (CAO ziekenhuizen). Salary grading (FWG 50–55, max €4,391) will be based on experience. In addition, we offer a Flexible Benefits System, which allows you to tailor your employment package, for example by adding extra leave or tax advantages.

About us
About the Institutions

Catharina Hospital
Working at Catharina Hospital in Eindhoven means being part of an open, welcoming, and highly professional environment in a top clinical teaching hospital with ambitious goals. Both patients and staff are central. At Catharina, you will experience the enthusiasm and dedication of over 3,000 colleagues daily.

Eindhoven University of Technology (TU/e)In addition to Catharina Hospital, you will be embedded in the Signal Processing Systems (SPS) group of the Electrical Engineering faculty at TU/e. The SPS group conducts research on signal, data, and image analysis for medical applications. The group works closely with industrial and clinical partners as well as international research institutes.

Philips
Royal Philips N.V. is a leading health technology company focused on improving people’s health and achieving better care outcomes across the health continuum, from healthy living and prevention to diagnostics, treatment, and home care.

Philips leverages advanced technologies and deep insight into clinical applications and consumer needs to develop integrated solutions. The company is a market leader in diagnostic imaging, image-guided therapies, medical IT, patient monitoring, home care systems, and consumer health applications.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Igor Paulussen, i.w.f.paulussen@tue.nl.

Visit our website for more information about the application process. You can also contact Prof.Dr. R. Arthur Bouwman (Anesthesioloog), Arthur.bouwman@catharinaziekenhuis.nl, 040-239 8500.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Impact of Shock Events on the Reliability of Electric Power Conversion Systems

Introduction
Electric power conversion systems are increasingly common in medium-voltage (MV) power grids due to the rise of high-power renewable energy sources and electrified loads. Since current semiconductor devices lack sufficient blocking-voltage capability, modular circuit architectures are typically used in MV-connected converter applications. These systems consist of building blocks such as power transformers, power electronic converters, protection systems, filters, and reactive power compensation circuits. These technologies are key to achieving net-zero CO2 emissions by 2050. However, their long-term social and environmental impacts, including the generated electrical and electronic waste at the end of life, have been largely overlooked.

To reduce the environmental impact of these systems, designs should enable circular-economy strategies like reuse, remanufacturing, and repurposing. Developing reliability assessment models is essential to achieve circular, serviceable energy conversion systems. Generally, their remaining useful life can be estimated from condition-monitoring data or degradation models based on typical load profiles. Most studies focus on degradation due to thermomechanical wear-out during normal operation, but changes in lifetime caused by shock events remain understudied.

Job Description
The PhD candidate will focus on systematically identifying, modeling, and quantifying the effects of shock events on the reliability of electric power conversion systems. The objective is to develop assessment methodologies that enhance these systems' compatibility with circular economy strategies, enabling informed decisions regarding their reuse, remanufacturing, and repurposing.

This project consists of researching electric power conversion systems while:

• identifying the nature and frequency of shock events and their resulting stresses;
• investigating qualitative and quantitative effects of shock events using a physics-based approach verified both analytically and experimentally;
• developing physics-based and stochastic models for predicting the remaining lifetime, which combine both degradation due to normal operation and shock events.
• developing circuit topologies for fault containment or sensing systems to forecast the occurrence of shock events and prevent them by control.

Job Requirements

• MSc degree in Electrical and/or Power Engineering.
• A very strong analytical background, with solid mathematical and multi-physics knowledge.
• Excellent problem-solving abilities for power electronics and electromechanical systems with demonstrated hands-on experience
• Ability to independently organize your own work, to solve problems, to cooperate, and to achieve desirable goals.
• Strong curiosity for scientific challenges and creativity in solving practical problems.
• Excellent scientific writing skills, preferably proven with peer-reviewed publications.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The Electromechanics and Power Electronics (EPE) group is one of the nine research groups of the Department of Electrical Engineering at TU/e. The group is the main center for research in electromechanical power conversion and power electronics in the Netherlands. The research aligns with the three main strategic research themes of Eindhoven University of Technology, i.e., Energy, Health, and Smart Mobility. The EPE group's four research tracks are high-tech motion systems and robotics, power electronics systems, smart mobility, and advanced modeling. Furthermore, the group is one of the founders of the High Tech Systems Center, where all mechatronic knowledge from TU/e will be consolidated.

The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring managers, Francesca Grazian (f.grazian@tue.nl) and Calina Ciuhu (c.ciuhu@tue.nl), assistant professors in the EPE group in the Electrical Engineering department.

Visit our website for more information about the application process. You can also contact HR Services EE at HRServices.ee@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Senior Recruitment Consultant

Als Senior Recruitment Consultant ben je niet alleen verantwoordelijk voor de uitvoering van recruitment, maar help je ook om recruitment binnen Triple naar een hoger plan te tillen.

Jouw taken:

• Opbouwen en onderhouden van een sterk netwerk van professionals binnen het ruimtelijk en maatschappelijk domein.
• Opstellen en uitvoeren van een strategisch recruitmentplan voor de lange termijn.
• Actief zoeken en benaderen van kandidaten via diverse kanalen.
• Voeren van diepgaande kennismakingsgesprekken en selecteren van de juiste professionals.
• Verbeteren en structureren en innoveren van de recruitmentprocessen binnen Triple.
• Het uitbouwen van het recruitmentteam.
• Meedenken over employer branding en het versterken van onze zichtbaarheid in de markt.