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

Updated: 4 months ago
Deadline: 30 Nov 2023

4 Nov 2023
Job Information
Organisation/Company

Delft University of Technology (TU Delft)
Research Field

Physics
Researcher Profile

Leading Researcher (R4)
Established Researcher (R3)
Country

Netherlands
Application Deadline

30 Nov 2023 - 22:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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.

We are seeking candidates whose 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. We seek candidates that can demonstrate how their 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.

Prospective candidates should demonstrate the core methodological contribution they 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.

Candidates should explicitly state in their application what anticipated methodological contributions around computational sciences and/or data science they bring, and how they see themselves 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


Requirements
Specific Requirements

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.

Additional Information
Benefits

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: € 3.974 - € 6.181. Salary indication for Associate Professor € 5.506 - € 7.362).

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.


Selection process

Are you interested in this vacancy? Please apply before 30 November 2023 via the application button and upload your motivation and CV.

  • 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.

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


Additional comments

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


Website for additional job details

https://www.academictransfer.com/334183/

Work Location(s)
Number of offers available
1
Company/Institute
Delft University of Technology
Country
Netherlands
City
Delft
Postal Code
2628 CD
Street
Mekelweg 2

Where to apply
Website

https://www.academictransfer.com/en/334183/assistant-associate-professor-dataco…

Contact
City

Delft
Website

http://www.tudelft.nl/
Street

Mekelweg 2
Postal Code

2628 CD

STATUS: EXPIRED

Similar Positions