In order to prompt interventions to improve birth care, quality indicators should be accurately and continuously available. This project will initiate a quality cycle in integral birth care, centered around a maternity dashboard (MDB) that provides clinical quality indicators (e.g. percentage of caesarean sections). The MDB can be used to identify where birth care can be improved. In this proposed research, the technical aspects, such as data validity, analysis and visualization, need to be addressed in a collaboration between healthcare professionals and data scientists. The PhD candidate is required to

• Collect data from users (questionnaires, focus groups), and from the Perined national registration, which will also be used for performing the MDB audits.
• Perform Data analysis in close collaboration with Perined using both advanced statistical models and data mining algorithms.
• Conduct retrospective study to investigate electronic medical record data (Máxima MC) to integrate CTG (FM30) data in the MDB and use state-of-art AI techniques to improve interpretation of CTG for perinatal care providers.
• Improve data quality and aggregation from multiple sources. Implement a reliable data infrastructure using Perined data and PROMs, including providing tools to facilitate correcting errors faster.
• Develop an MDB that provide continuous availability of quality indicators: analyze and display the data; visual information on perinatal outcomes for the total population as well as subgroups of women or babies (e.g. depending on care path and 'vulnerable' groups of women).

You will contribute to the PICASSO project of Eindhoven MedTech Innovation Center (e/MTIC), in collaboration with Máxima MC and Philips Research and will work in a team of engineers and clinicians at all partner locations in Eindhoven/Veldhoven.

We are looking for an excellent candidate that matches the following profile:

• A master in statistics, econometrics or data science with strong affinity for programming or otherwise a master in computer science with strong affinity for statistics.
• An academic attitude and strong analytical mind.
• Enjoy working in a multidisciplinary team with academic, clinical and industrial partners.
• Fluent in spoken and written English.

What we offer

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation after one year.
• To support you during your PhD and to prepare you for the rest of your career, you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.