Postdoc Data Interaction for Remote Patient Monitoring Heart Failure Carepath

Introduction
Are you passionate about Design Research and the design of data-driven, hybrid care? Do you love working at the intersection of healthcare, technology, and complex multi-stakeholder ecosystems? Are you inspired by designing in the medical context and having a direct impact on quality of life for many patients? This Postdoc position will allow you to do all this in close cooperation with design researchers at Industrial Design TU/e, two leading regional hospitals (Máxima Medisch Centrum and Catharina Ziekenhuis Eindhoven), and MedTech partners such as LUSCII, BeterDichtbij, AIKON and Philips.

Job Description
Healthcare is undergoing rapid transformation, driven by rising chronic disease, workforce shortages, and the urgent need for more efficient, patient-centred models of care. Remote Patient Monitoring (RPM) has become a cornerstone of hybrid care, enabling follow-up outside the hospital while supporting quality, safety, and continuity of care. Heart failure – affecting around 240,000 people in the Netherlands – is one of the most common and fastest-growing chronic conditions to address. Yet large-scale, sustainable RPM remains limited, in large part because of the underlying health-IT infrastructure: centralised data integration approaches that copy, transform, and maintain data in multiple places, creating rigidity, high maintenance costs, limited scalability, and strong vendor dependencies. In response, a paradigm shift is emerging – data interaction – in which data remains in its source systems but becomes available in real time, contextually, and on demand to authorised users and applications. This Postdoc position offers the resources and collaboration to design, document, and further develop methodological insights around data interaction for cross-institutional, hybrid care, with a direct, real-world impact on the heart failure care pathway.

Máxima Medisch Centrum (MMC) and Catharina Ziekenhuis Eindhoven (CZE) already collaborate closely on RPM for heart failure within a regional ecosystem committed to innovation in digital and hybrid care, and a basic data-interaction system has already been realized. As Postdoc, you will lead the design of a unified, cross-institutional heart failure care pathway, develop a system-independent, care-process-driven data definition, and guide the implementation and evaluation of data interaction in daily clinical practice. You will also help shape the business and governance models that allow multiple MedTech vendors (LUSCII, BeterDichtbij, AIKON, Philips) to connect to the data-interaction layer, working towards a transferable foundation that can be scaled to other care pathways. A concrete goal for this Postdoc is to set up an effective design research agenda spanning clinical, technical, implementation, and business perspectives, in close cooperation with an Engineering Doctorate candidate and the clinical, IT, and vendor teams. Next to that, the Postdoc position will be connected to the Eindhoven MedTech Innovation Center (eMTIC).

The position is offered within the Industrial Design Department, Computational Design Systems cluster. Research at the Industrial Design department investigates the everyday interactions between people and the highly interconnected technology that surrounds them. We measure, model, and design for the user experience as individuals engage with social-technological networks — at home, at work, in transit, and at leisure — and create innovations that impact systemic structures and groups of people, addressing large-scale issues such as health, mobility, and sustainability through iterative, circular research-through-design with strategic stakeholder alliances.

The position is embedded in the Computational Design Systems (CDS) cluster, established in 2023, which develops integrated technological and methodological frameworks that support design practice and research at scale — providing access to emerging technology platforms, a shared conceptual language, and a community of practice. CDS takes a systems approach to design, with core expertise spanning information systems, human-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care.

This specific position is in close collaboration with Catharina Hospital Eindhoven and Maxima Medical Centre. You will spend most of your time within the hospital. For the connection to the development of the data interaction concept primarily at the Catharina hospital, and across the hospitals for the design of the heart failure care pathway.

Job Requirements

• PhD in Industrial Design, HCI, Interaction Design, Health/Medical Informatics, Innovation Science or Management, or a comparable domain.
• Ability to conduct high quality academic research, demonstrated for instance by a relevant PhD thesis and relevant publication(s) on design research, healthcare innovation, data-driven or hybrid care, or health-IT and interoperability.
• Experience designing complex service or care processes in which process and technological solutions are effectively combined into workable, validated care pathways, with demonstrable skill in co-creation and (service) design methods such as journey maps, service blueprints, and stakeholder maps.
• Affinity with technical aspects of the data interaction concept. Hands on approach towards creating data definition and ability to set and translate technical requirements.
• Ability to communicate and cooperate with various clinical, technical, industrial, and academic partners and stakeholders, shown by relevant prior experiences and/or positive evaluations of these efforts.
• Excellent mastering of the Dutch and English language, good communication and project management skills (to be effective in the hospital setting designing the care pathway, including patient and professional insights, Dutch is a hard requirement).

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 2 years.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. € 4,241 max. € 5,538 gross per month).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• 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.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

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 Department of Industrial Design conducts research on and education in the design of systems with emerging technologies in a social context. We excel at integrating various academic disciplines, including engineering, design, business, and social sciences.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager prof.dr. Mathias Funk, m.funk@tue.nl.

Visit our website for more information about the application process. You can also contact HRServices.ID@tue.nl.

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 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.
• List of up to five self-selected ‘best publications’.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

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.

Postdoc Data Interaction for Remote Patient Monitoring Heart Failure Carepath

Healthcare is undergoing rapid transformation, driven by rising chronic disease, workforce shortages, and the urgent need for more efficient, patient-centred models of care. Remote Patient Monitoring (RPM) has become a cornerstone of hybrid care, enabling follow-up outside the hospital while supporting quality, safety, and continuity of care. Heart failure – affecting around 240,000 people in the Netherlands – is one of the most common and fastest-growing chronic conditions to address. Yet large-scale, sustainable RPM remains limited, in large part because of the underlying health-IT infrastructure: centralised data integration approaches that copy, transform, and maintain data in multiple places, creating rigidity, high maintenance costs, limited scalability, and strong vendor dependencies. In response, a paradigm shift is emerging – data interaction – in which data remains in its source systems but becomes available in real time, contextually, and on demand to authorised users and applications. This Postdoc position offers the resources and collaboration to design, document, and further develop methodological insights around data interaction for cross-institutional, hybrid care, with a direct, real-world impact on the heart failure care pathway.

Máxima Medisch Centrum (MMC) and Catharina Ziekenhuis Eindhoven (CZE) already collaborate closely on RPM for heart failure within a regional ecosystem committed to innovation in digital and hybrid care, and a basic data-interaction system has already been realized. As Postdoc, you will lead the design of a unified, cross-institutional heart failure care pathway, develop a system-independent, care-process-driven data definition, and guide the implementation and evaluation of data interaction in daily clinical practice. You will also help shape the business and governance models that allow multiple MedTech vendors (LUSCII, BeterDichtbij, AIKON, Philips) to connect to the data-interaction layer, working towards a transferable foundation that can be scaled to other care pathways. A concrete goal for this Postdoc is to set up an effective design research agenda spanning clinical, technical, implementation, and business perspectives, in close cooperation with an Engineering Doctorate candidate and the clinical, IT, and vendor teams. Next to that, the Postdoc position will be connected to the Eindhoven MedTech Innovation Center (eMTIC).

The position is offered within the Industrial Design Department, Computational Design Systems cluster. Research at the Industrial Design department investigates the everyday interactions between people and the highly interconnected technology that surrounds them. We measure, model, and design for the user experience as individuals engage with social-technological networks — at home, at work, in transit, and at leisure — and create innovations that impact systemic structures and groups of people, addressing large-scale issues such as health, mobility, and sustainability through iterative, circular research-through-design with strategic stakeholder alliances.

The position is embedded in the Computational Design Systems (CDS) cluster, established in 2023, which develops integrated technological and methodological frameworks that support design practice and research at scale — providing access to emerging technology platforms, a shared conceptual language, and a community of practice. CDS takes a systems approach to design, with core expertise spanning information systems, human-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care.

This specific position is in close collaboration with Catharina Hospital Eindhoven and Maxima Medical Centre. You will spend most of your time within the hospital. For the connection to the development of the data interaction concept primarily at the Catharina hospital, and across the hospitals for the design of the heart failure care pathway.

EngD in Prototyping Future AI-enabled Radiology Workflows

Introduction
Do you want to improve the lives of patients and medical doctors? Do you want to use your design skills or your software concept development skills to co-create the future of healthcare? Are you excited about the prospects of responsible AI for medical applications?

Job Description
Societal urgency
Access to high quality healthcare is under increasing pressure. Patient volumes are rising due to an aging population, and the amount of data from scans and image interpretation is increasing at a steeper pace than radiologists and pathologists can handle. Radiology leaders have raised alarm that labor shortages are leading to longer wait times and delays in treatment for patients. Never has there been a bigger need to relieve the pressure from staff. But how exactly do we make that happen?

The challenge
Adoption of radiology and pathology solutions is increasingly driven by the extent to which solutions “naturally” fit into clinical workflows and enable radiologists to deliver quality at speed. This requires not only high-quality medical data and cutting-edge AI models. More so, clinical acceptance and adoption depend on solutions that are designed with a clear understanding of clinical workflows and usage patterns, and with the requirements that different clinical experts have on their tooling. Beyond functional requirements, successful clinical adoption needs highly intuitive solutions, seamless workflow integration (speed), and a great user experience. In sum, we face the overarching challenge of how to integrate AI-based clinical decision-making tools into clinical practice that is characterized by fast-paced, high-stakes decision-making informed by deep domain knowledge and year-long expertise. Prototypes that are highly realistic in the eyes of the clinical user have shown to be an important “vehicle” to enable rapid co-creation with clinicians. It enables them to give meaningful clinician-centered direction to development complex technical tools. Are you ready to iteratively create such prototypes and shape them together with experts in the field?

You are part of a learning community
You will be strongly embedded in and work closely with a highly dynamic community with experts from different disciplines including designers, researchers, engineers, clinical specialists and business:

• You will work “in-tandem” with your fellow EngD team member. You learn from each other by bouncing-off ideas and taking turns at different steps in the design process.
• You will immerse yourself in the Philips Advanced Visualization & Insights business context working closely with the design teams on the latest technology developments in radiology, in close collaboration with hospitals and clinical end-users where the impact is made.
• The EngD program offers a personalized learning experience through a mix of courses, coaching and hands-on learning by doing.
• You will be surrounded by a team of fellow EngDs and PhDs that focus on human-AI collaboration in the healthcare domain.

Job Requirements
EngD position 1 – The medical UX/ UI design researcher & AI designer
In this position you dive deep into understanding the user needs and AI-enabled workflows of the clinical end users and translate those insights into UX requirements, scenarios, UI design concepts of (conversational) user-system interactions and interactive data visualizations. You express your ideas by creating clickable demonstrators together with your buddy “the creative technologist” (the second EngD candidate) and you enjoy using your user research skills to set up interviews and simulated use tests to collect user feedback, early and often.

Requirements

• A Masters degree in an industrial design related discipline (e.g., Industrial Design, Interaction Design, UX-UI, HCI). Masters degree needs to be obtained before the prospective starting date of this position: September/ October 2026.

Design creation skills

• Strong conceptual design skills (translating user insights into concepts pushing the boundaries of the status quo)
• Affinity with UI, visual design skills, wireframes and clickable prototypes (e.g., Figma)
• Data visualization (next gen medical data & AI visualization)
• Interest in and understanding of AI (i.e., integration of AI in user journeys)
• Eye for detail and quality

Design research skills

• Enjoy experimentation with iterations based on user feedback and contextual insights
• Intermediate knowledge of user research methods (e.g., interviews, setting up and running small hands-on user tests with clinical end users, inquiries with stakeholders)

Soft skills

• Strong collaborator with multi-disciplinary team members and industry stakeholders
• Curious to know more about the healthcare domain and in obtaining a deep understanding of clinical end users in their daily work
• Can-do attitude and hands-on designer

EngD position 2 – The creative technologist
In this position you use your front-end software prototyping powers to create dynamic and realistic clinical workflow prototypes with clinical data, medical data visualizations and interactive AI outputs. You work closely with your buddy, the “medical UX/ UI design researcher & AI designer” where you take the lead in interactive prototype implementation to create a realistic clinical user experience based on actual data and AI outputs.

Requirements

• A Masters degree in software engineering or related discipline (e.g., Computer Science/Engineering, Industrial Design with strong technical focus). Masters degree needs to be obtained before the prospective starting date of this position: September/ October 2026.

Technical skills

• Solid front-end software development skills with modern web technologies and frameworks (e.g., React, data visualization tools and libraries)
• Proficient with full-stack integration of LLM, VLM and agentic AI technology, and adapting it to your needs to build great user experiences (e.g., output of AI algorithms, managing local development environments)
• Experience with backend systems, software design and architecture principles, different architectural patterns, and data modelling.
• Experience with agentic coding patterns and writing technical documentation is a plus.

Design affinity

• Understanding user experience design principles
• Enjoys iterative experimentation with iterations based on user feedback and contextual insights, familiarity with agile methods is a plus
• An eye for detail and a quality mindset, software testing and release experience is a plus

Soft skills

• Strong collaborator with multi-disciplinary team members and stakeholders, both from engineering and design.
• Curious to know more about the healthcare domain
• Can-do attitude and being a hands-on creative technologist

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an international setting with a close relationship to industry. 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 two years.
• 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 TOIO (€ 3,029 gross per month).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• To support you during your EngD and to prepare you for the rest of your career, you will have free access to a personal development program for EngD trainees.
• 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 Department of Industrial Design conducts research on and education in the design of systems with emerging technologies in a social context. We excel at integrating various academic disciplines, including engineering, design, business, and social sciences.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager prof.dr. Mathias Funk, m.funk@tue.nl.

Visit our website for more information about the application process. You can also contact HRServices.ID@tue.nl.

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.
• A 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.
• Copies of relevant BSc and MSc diplomas and grade transcripts.
• The result of an English proficiency test such as IELTS or TOEFL.

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.

EngD in Prototyping Future AI-enabled Radiology Workflows

Societal urgency

Access to high quality healthcare is under increasing pressure. Patient volumes are rising due to an aging population, and the amount of data from scans and image interpretation is increasing at a steeper pace than radiologists and pathologists can handle. Radiology leaders have raised alarm that labor shortages are leading to longer wait times and delays in treatment for patients. Never has there been a bigger need to relieve the pressure from staff. But how exactly do we make that happen?

The challenge
Adoption of radiology and pathology solutions is increasingly driven by the extent to which solutions “naturally” fit into clinical workflows and enable radiologists to deliver quality at speed. This requires not only high-quality medical data and cutting-edge AI models. More so, clinical acceptance and adoption depend on solutions that are designed with a clear understanding of clinical workflows and usage patterns, and with the requirements that different clinical experts have on their tooling. Beyond functional requirements, successful clinical adoption needs highly intuitive solutions, seamless workflow integration (speed), and a great user experience. In sum, we face the overarching challenge of how to integrate AI-based clinical decision-making tools into clinical practice that is characterized by fast-paced, high-stakes decision-making informed by deep domain knowledge and year-long expertise. Prototypes that are highly realistic in the eyes of the clinical user have shown to be an important “vehicle” to enable rapid co-creation with clinicians. It enables them to give meaningful clinician-centered direction to development complex technical tools. Are you ready to iteratively create such prototypes and shape them together with experts in the field?

You are part of a learning community
You will be strongly embedded in and work closely with a highly dynamic community with experts from different disciplines including designers, researchers, engineers, clinical specialists and business:

• You will work “in-tandem” with your fellow EngD team member. You learn from each other by bouncing-off ideas and taking turns at different steps in the design process.
• You will immerse yourself in the Philips Advanced Visualization & Insights business context working closely with the design teams on the latest technology developments in radiology, in close collaboration with hospitals and clinical end-users where the impact is made.
• The EngD program offers a personalized learning experience through a mix of courses, coaching and hands-on learning by doing.
• You will be surrounded by a team of fellow EngDs and PhDs that focus on human-AI collaboration in the healthcare domain.

PostDoc in AI-enhanced solvent-based recycling of polymers

This project will be executed together with company Exergy within the EKKO Circular Plastics project. The PD researcher will develop and validate an AI-enhanced, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in high yield of high-value polymers (e.g., PET, PS, PC, ABS) at high purity, while minimizing solvent consumption and energy demand. The research activities will include understanding of performance profile of recycled polymers by means of various chemical, structural, rheological and mechanical characterization techniques.

The PD research will be carried out under the supervision of Prof. Željko Tomović in the Polymer Performance Materials group in the Department of Chemical Engineering and Chemistry at the TU/e, which is also the part of the interdisciplinary Institute for Complex Molecular Systems (ICMS), in which all polymer-related research groups at the TU/e participate. A description of the group can be found here: https://www.tue.nl/en/research/research-groups/polymer-performance-materials.

The TU/e offers academic education that is driven by fundamental and applied research. We combine scientific curiosity with a hands-on mentality. Our educational philosophy is based on personal attention and room for individual ambitions and talents. Our research meets the highest international standards of quality. We push the limits of science, which puts us at the forefront of rapidly emerging areas of research.