PhD position in workaround mining (1.0 FTE)

Join our ambitious team to conduct process mining research on how people use workarounds in health information systems.

ongeveer 2 maanden geleden

Arbeidsvoorwaarden

Standplaats:: Domplein, Utrecht, Utrecht
Dienstverband:: Tijdelijk contract / Tijdelijke opdracht
Uren per week:: 38 - 40 uur

Salarisindicatie:: € 2395 - € 3061 per maand
Opleidingsniveau:: WO

Functieomschrijving

As the prospective PhD candidate on this project, you will perform research, develop process mining methods, carry out case studies in healthcare organisations, publish the results at international conferences and scientific journals, and complete a PhD thesis.

In this project, you will use process mining techniques to analyse the event logs recorded in health information systems, in order to analyse how hospital employees use these systems. In particular, you will focus on how they employ workarounds: intentionally using the information system in ways it was not designed for. The ultimate goal of the project is to develop methods that can pinpoint exactly when, where, and how workarounds emerge. This knowledge will help us understand why implementations of health information systems often fail and how we can improve this.

This PhD project has a focus on the utilisation of the generated knowledge. Therefore, you will work together with a users’ committee of different organisations that are interested in your results. This committee consists of software companies with whom you co-develop the methods and supporting software, and hospitals in which you will carry out case studies to empirically evaluate your findings.

We can offer you either a four-year position in which you focus mostly on your research with only 15% teaching activities, or a five-year position, with 30% teaching activities. In the latter case, you will also be involved in supporting the preparation and teaching of Bachelor's and Master's level courses, and supervising student theses. We also offer the opportunity to take significant steps towards acquiring a basic teaching qualification (BKO), after which you will qualify as a teacher in the Dutch higher education system.

Functie-eisen

We are looking for a candidate who meets the following requirements:

a Master’s degree in Information Science, Computer Science, Data Science, or a related discipline;
a strong interest in conducting research;
a strong interest in organisational behaviour;
affinity with the development of software and the use of tools - candidates are expected to realise research ideas in terms of prototype software;
hands-on knowledge of process mining, data mining, predictive analytics, or big data;
good communicative skills in English, both in speaking and in writing;
at least elementary reading skills in Dutch, or the willingness to quickly learn Dutch: much of the documentation and data to be analysed is recorded in Dutch.

Conditions

We offer an exciting opportunity to contribute to an ambitious and international research group. You will receive appropriate training, personal supervision, and guidance for both your research and teaching tasks. Process mining is a young, emerging field for people who really want to make a difference and like to work on things that have a high practical relevance. Therefore, you will work closely with companies from the services and healthcare domains to verify and validate your research results. This PhD programme will prepare you for a range of interesting, data science-related jobs in both academia and industry.

You will have:

a full-time position for four or five years;
a full-time gross salary that starts at €2,395 and increases to €3,061 per month in the fourth year (scale P of the Collective Labour Agreement Dutch Universities (cao));
benefits including 8% holiday bonus and 8.3% end-of-year bonus;
a pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement Dutch Universities.

In addition to the employment conditions laid down in the cao for Dutch Universities, Utrecht University has a number of its own arrangements. For example, there are agreements on professional development, leave arrangements and sports. We also give you the opportunity to expand your terms of employment yourself via the Employment Conditions Selection Model. This is how we like to encourage you to continue to grow.

More information about working at the Faculty of Science can be found here.

Additional information

If you have any questions about this position, please contact Dr Inge van de Weerd (i.vandeweerd@uu.nl).

If you have a question about the application procedure, please send an email to science.recruitment@uu.nl.