Postdoc Bayesian Methodology for Predicting the Performance of New Implantable Medical Devices

Job description

Innovative medical devices can offer important benefits to patients and are approved based on sufficient clinical evidence showing the safety and beneficial effects. Manufacturers currently face challenges in determining whether new clinical evidence is needed for a small change in the material or design, or that evidence is sufficient. In addition, regulators and notified bodies need to decide whether this requires a full (new) assessment of the evidence or can be considered an equivalent device. The key question for both stakeholders is whether we may expect that the performance is similar to that of the parent design, or that performance is uncertain and we need further evidence, but are lacking tools to inform their decision making for such device iterations.

This postdoc position will delve into these complexitieis by developing a methodology for bridging studies, using Bayesian methodology to integrate prior knowledge (historical data, benchmark tests, and literature) about exisiting meical devices with real-world evidence to predict the impact of iterative design changes on the device performance, accounting for the inherent uncertainties around such predictions.

A major challenge in assessing the performance of a medical device variants is lack of data for the new device variants. The postdoc will develop a mechanism to make use of existing data, translate past success into current confidence while satisfying medical device regulation requirements. It will transform the current static models into a "Digital Twin" for safety of medical devices, specifically supporting decisions regarding iterative small changes. Finally, the postdoc will evaluate the quality of evidence required after a device is on the market, and provides a roadmap for regulators to demand the right data at the right time, rather than merely more data.

The position is part of the European COMPASS4MD project consisitng of an international consortium and will involve close collaboration with research institutes, regulators, clinical experts, patient representatives, and other partners across Europe. You will contribute to joint project activities, exchange findings with partners from different countries and disciplines. The position therefore suits someone who communicates easily, enjoys working with people from different countries and disciplines, and is willing to take an active role in an international consortium. You should be comfortable working independently on your own research while also contributing to shared activities, meetings, workshops, and deliverables with European project partners. Some travel within Europe may be part of the position.

English proficiency is required. Proficiency in Dutch is considered an advantage, but is not a requirement. Experience with advanced statistical methods, econometric methods, and Monte Carlo simulation is an advantage. We do not expect candidates to already possess expertise in these areas; we particularly value the ability and motivation to work across disciplinary boundaries.

Job requirements
A methodologically oriented PhD degree e.g. in Epidemiology, Health Sciences, (Technical) Medicine, Medical Statistics, Data Science, Safety Science, Biomedical Engineering or a related field. As the project combines quantitative analysis of clinical evidence with empirical research into regulatory decision-making, we particularly welcome candidates who demonstrate expertise in advanced quantitative methods to answer biomedical or clinical research questions or to tackle methodological problems in medical applications.

Specific requirements:

• Demonstrated experience in Bayesian inference / networks;
• Familiarity with statistics and probability theories;
• Excellent research, academic writing and presentation skills, demonstrated by journal and / or conference publications;
• The ability to work both independently and as part of a team;
• High level of proficiency in English; Knowldege of Dutch language is optional but preferred;
• Experience with collaborative research projects is desirable.

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 Technology, Policy & Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.

Click here to go to the website of the Faculty of Technology, Policy and Management.

Postdoc Bayesian Methodology for Predicting the Performance of New Implantable Medical Devices

Job description

Innovative medical devices can offer important benefits to patients and are approved based on sufficient clinical evidence showing the safety and beneficial effects. Manufacturers currently face challenges in determining whether new clinical evidence is needed for a small change in the material or design, or that evidence is sufficient. In addition, regulators and notified bodies need to decide whether this requires a full (new) assessment of the evidence or can be considered an equivalent device. The key question for both stakeholders is whether we may expect that the performance is similar to that of the parent design, or that performance is uncertain and we need further evidence, but are lacking tools to inform their decision making for such device iterations.

This postdoc position will delve into these complexitieis by developing a methodology for bridging studies, using Bayesian methodology to integrate prior knowledge (historical data, benchmark tests, and literature) about exisiting meical devices with real-world evidence to predict the impact of iterative design changes on the device performance, accounting for the inherent uncertainties around such predictions.

A major challenge in assessing the performance of a medical device variants is lack of data for the new device variants. The postdoc will develop a mechanism to make use of existing data, translate past success into current confidence while satisfying medical device regulation requirements. It will transform the current static models into a "Digital Twin" for safety of medical devices, specifically supporting decisions regarding iterative small changes. Finally, the postdoc will evaluate the quality of evidence required after a device is on the market, and provides a roadmap for regulators to demand the right data at the right time, rather than merely more data.

The position is part of the European COMPASS4MD project consisitng of an international consortium and will involve close collaboration with research institutes, regulators, clinical experts, patient representatives, and other partners across Europe. You will contribute to joint project activities, exchange findings with partners from different countries and disciplines. The position therefore suits someone who communicates easily, enjoys working with people from different countries and disciplines, and is willing to take an active role in an international consortium. You should be comfortable working independently on your own research while also contributing to shared activities, meetings, workshops, and deliverables with European project partners. Some travel within Europe may be part of the position.

English proficiency is required. Proficiency in Dutch is considered an advantage, but is not a requirement. Experience with advanced statistical methods, econometric methods, and Monte Carlo simulation is an advantage. We do not expect candidates to already possess expertise in these areas; we particularly value the ability and motivation to work across disciplinary boundaries.

Job requirements
A methodologically oriented PhD degree e.g. in Epidemiology, Health Sciences, (Technical) Medicine, Medical Statistics, Data Science, Safety Science, Biomedical Engineering or a related field. As the project combines quantitative analysis of clinical evidence with empirical research into regulatory decision-making, we particularly welcome candidates who demonstrate expertise in advanced quantitative methods to answer biomedical or clinical research questions or to tackle methodological problems in medical applications.

Specific requirements:

• Demonstrated experience in Bayesian inference / networks;
• Familiarity with statistics and probability theories;
• Excellent research, academic writing and presentation skills, demonstrated by journal and / or conference publications;
• The ability to work both independently and as part of a team;
• High level of proficiency in English; Knowldege of Dutch language is optional but preferred;
• Experience with collaborative research projects is desirable.

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 Technology, Policy & Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.

Click here to go to the website of the Faculty of Technology, Policy and Management.

PhD position "Agentic AI for Resource Management and Resilient Operations in 6G"

Job description

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.

Future 6G infrastructures will involve multiple specialized AI agents that manage radio, transport, computing, and service resources across different domains and vendors. Although individual agents may optimize local objectives, their actions can interact, conflict, or compete for shared resources. This PhD will develop learning methods for coordinating such agentic systems under changing network conditions, incomplete information, and operational constraints. The research will build on constrained and optimistic online learning, distributed learning, and online game-theoretic methods. The developed framework will be studied in two main application areas: multi-domain resource management for AI-enabled services, and resilient network operation, including fault diagnosis, root-cause analysis, and autonomous remediation. The methods will be validated through FNS use-cases, network data, and experimental infrastructure in collaboration with industrial partners.

You’ll be joining an internationally diverse and thriving team, providing ample opportunities for riveting sparring and knowledge sharing. Fostering a highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate with various partners in pursuit of integrating your AI/ML techniques into the various 6G PoCs and demos.

Job requerements
Become part of an expansive ecosystem shaping the development of 6G. You will benefit from training in 5G and beyond networks, AI, and software development. Plus, you will gain exclusive access to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial endeavours.

Are you ready to challenge yourself? We're seeking candidates who have, or are about to receive, a Master-of-Science degree in a relevant computer science discipline and who like to combine theory with practice. Proficiency in English is essential, as you'll collaborate within a diverse, international community. For more details on our admission requirements, please visit https://www.tudelft.nl/onderwijs/opleidingen/phd/admission. We’ll evaluate based on your academic record, interviews, and possibly assignments. While a strong background in the field is crucial, what matters as well is your creative flair, motivation, and above all, your passion for comprehensive research!

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

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

Challenge. Change. Impact!

Faculty of 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.

PhD position "Secure multi-stakeholder 6G orchestration"

Job description

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.

6G services will no longer run in a single place. They will be built from software functions that are placed, scaled, and moved across devices, base stations, edge sites, and central clouds, often owned and operated by different parties. This PhD project designs, builds, and evaluates the management and orchestration (MANO) systems that make this multi-stakeholder continuum secure and dependable. The research question is how orchestration can decide across infrastructure that cannot be fully trusted. The project addresses how hardware roots of trust are discovered, allocated, and carried across migration, how a node is attested continuously while it serves traffic, how split AI workloads are placed without exposing model or data across trust boundaries, and how orchestration decisions are made auditable. The work extends open-source orchestration platforms and is validated on FNS experimental infrastructure in collaboration with industrial partners.

You’ll be joining an internationally diverse and thriving team, providing ample opportunities for riveting sparring and knowledge sharing. Fostering a highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate with various partners in pursuit of integrating your AI/ML techniques into the various 6G PoCs and demos.

Job requerements
Become part of an expansive ecosystem shaping the development of 6G. You will benefit from training in 5G and beyond networks, AI, and software development. Plus, you will gain exclusive access to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial endeavours.

Are you ready to challenge yourself? We're seeking candidates who have, or are about to receive, a Master-of-Science degree in a relevant computer science discipline and who like to combine theory with practice. Proficiency in English is essential, as you'll collaborate within a diverse, international community. For more details on our admission requirements, please visit https://www.tudelft.nl/onderwijs/opleidingen/phd/admission. We’ll evaluate based on your academic record, interviews, and possibly assignments. While a strong background in the field is crucial, what matters as well is your creative flair, motivation, and above all, your passion for comprehensive research!

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

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

Challenge. Change. Impact!

Faculty of 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.

PhD position "Agentic AI for Resource Management and Resilient Operations in 6G"

Job description

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.

Future 6G infrastructures will involve multiple specialized AI agents that manage radio, transport, computing, and service resources across different domains and vendors. Although individual agents may optimize local objectives, their actions can interact, conflict, or compete for shared resources. This PhD will develop learning methods for coordinating such agentic systems under changing network conditions, incomplete information, and operational constraints. The research will build on constrained and optimistic online learning, distributed learning, and online game-theoretic methods. The developed framework will be studied in two main application areas: multi-domain resource management for AI-enabled services, and resilient network operation, including fault diagnosis, root-cause analysis, and autonomous remediation. The methods will be validated through FNS use-cases, network data, and experimental infrastructure in collaboration with industrial partners.

You’ll be joining an internationally diverse and thriving team, providing ample opportunities for riveting sparring and knowledge sharing. Fostering a highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate with various partners in pursuit of integrating your AI/ML techniques into the various 6G PoCs and demos.

Job requerements
Become part of an expansive ecosystem shaping the development of 6G. You will benefit from training in 5G and beyond networks, AI, and software development. Plus, you will gain exclusive access to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial endeavours.

Are you ready to challenge yourself? We're seeking candidates who have, or are about to receive, a Master-of-Science degree in a relevant computer science discipline and who like to combine theory with practice. Proficiency in English is essential, as you'll collaborate within a diverse, international community. For more details on our admission requirements, please visit https://www.tudelft.nl/onderwijs/opleidingen/phd/admission. We’ll evaluate based on your academic record, interviews, and possibly assignments. While a strong background in the field is crucial, what matters as well is your creative flair, motivation, and above all, your passion for comprehensive research!

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

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

Challenge. Change. Impact!

Faculty of 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.