Assistant / Associate Professor Data/Computational Science for Resilient Health & Care Systems

Challenge: vulnerability of current health systems to disruptions
Change: supporting health & care systems design using data analytics
Impact: more resilient health systems against future disruptions

The COVID-19 pandemic has highlighted vulnerabilities within healthcare systems worldwide, exposing the struggle of global health systems to meet care demands in a crisis. Future stressors, such as the accumulating effects of financial constraints and burned-out workforces, could result in even worse outcomes. As an Assistant/Associate Professor in Data/Computational Science for Resilient Health & Care Systems at TU Delft you will help us to create more resilient health and care systems.

Following the COVID-19 pandemic, the World Health Organisation (WHO) made policy recommendations for increasing health systems resilience and pointed to the importance of addressing resilience in all aspects of the healthcare system, including transforming ‘obsolete’ practices and re-designing policies, protocols and services. Such system and institutional changes require methods which take into account the complex multi-stakeholder environment and a deep engagement with social and spatial disparities in the provision of healthcare facilities. It also requires critical thinking on the types of data, statistical knowledge, and spatial understanding of population vulnerabilties that could aid the design of resilient health(care) systems.

Your research will focus on using data analytics to support the analysis, evaluation and design of resilient health and care systems; i.e. to make health systems better able to deal with internal and external disruptions, thereby contributing towards the resilience of health systems globally. You can demonstrate how your research addresses the sociotechnical characteristics of health systems, and/or the associated challenges this may bring. This includes, but is not limited to, the multi-actor environments in which decisions about clinical care take place, the complex policy implications and decisions for delivering care, the ethical implications of health data and privacy, and the geospatial contexts which affect care access and delivery.

You should demonstrate the core methodological contribution you would make to our Policy Analysis section. Areas of methodological expertise of the section’s staff members range from social-constructivist approaches to positivist approaches to support multi-actor systems analysis and design, such as participatory interventions, co-design methods, problem structuring, serious gaming, monitoring and evaluation, scenarios and visioning, adaptive planning, modelling and simulation, and data science. With an interdisciplinary group of researchers, educators, psychologists, philosophers, social scientists, ethicists, engineers, mathematicians and computer science modellers just down the corridor, you’ll be moving in inspiring circles to find the scientific breakthroughs needed to solve socio-technical challenges in health and care. We also offer a truly supportive environment to achieve your academic and professional development goals.

You should explicitly state in your application what anticipated methodological contributions around computational sciences and/or data science you bring, and how you see yourself fitting within the existing strengths in our team. Experience or willingness to work with mixed methods approaches is welcome.

Following the new multi-annual strategy 2022-2025, ‘health’ is now a core domain focus for our faculty. Our researchers work in close collaboration with Erasmus University Rotterdam, Erasmus Medical Centre, Leiden University Medical Centre, as well as joint institutes with Erasmus University such as the Pandemic & Disaster Preparedness Centre. Our ambition is to continue to grow this community by appointing new staff members dedicated to applying their skills to this domain, while also supporting cross-domain knowledge exchange with the rest of the faculty, in areas such as energy, transport, and climate.

We are looking for someone who has:

• A background in data analytics or computational science, as evidenced by a master and PhD degree.
• Proven research performance in the domain of health and care systems, as demonstrated by the publication track record.
• An appreciation of the advantages and disadvantages of diverse quantitative and qualitatitve methods for analysis.
• Affinity with the public domain, and ability and interest to cross disciplinary boundaries.
• Enthusiasm for and relevant experience in academic teaching and supervision.
• A team oriented attitude, and strong communication and collaboration skills.
• Excellent command of the English language, both spoken and written.
• Command of the Dutch language, or a willingness to learn Dutch.

We offer talented academics a clear and attractive career path with the expectation that you will have the potential to grow into a full professor position in the future. If you perform well, the intention is to convert your contract into a permanent one. At the start of your employment, agreements will be made about this based on our performance indicators.

During the selection procedure, it will be determined, depending on your background and experience, whether you are eligible for an assistant professor Tenure Track position or an associate professor.

Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language within three years.

The TU Delft sets specific standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. Inspiring, excellent education is our central aim. If you have less than five years of teaching experience and do not yet have your teaching certificate, you get the chance to obtain this within three years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication for Assistant Professor in scale 11 or 12: € 4.332 - € 6.737 and for Associate Professor in scale 13 or 14 € 6.002 - € 8.025).

The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

Coming to Delft Service and Partner Career Advice can support with advice for you and your accompanying partner about your individual settling needs in the Netherlands. Once arrived you can be supported with individual consults and diverse workshops. Located on Campus are the International Children’s Centre and an international primary school, which are subject to availability as well as several bilingual schools in the nearby surrounding.

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!

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.

For more information about this vacancy, please contact dr. Saba Hinrichs-Krapels, email: [email protected] , tel: +31152786390.

For information about the application procedure, please contact Martine van de Vorst, HR Advisor, email: [email protected] .

Are you interested in this vacancy? Please apply before 31 January2023 via the application button and upload:

• A motivation letter;
• A CV including a detailed list of your publications and achievements;
• A personal research statement including the embedding of your research into the Delft University of Technology organisation;
• A personal teaching statement.

Please note:

• You can apply online. We will not process applications sent by email and/or post.
• A pre-Employment screening can be part of the selection procedure.
• Please do not contact us for unsolicited services.