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PhD position in Information Systems/Business Intelligence

PhD position in Information Systems/Business Intelligence

We are looking for a PhD student who is interested in applying data-driven process analysis techniques to improve healthcare processes and who likes the idea of working with techniques like Process Mining, Neural Networks, and Optimization Algorithms
Industrial Engineering & Innovation Sciences


Streamlining healthcare processes while guaranteeing the quality of care is a prominent item on the political and social agendas, both at the national and European level. In recent years, significant efforts have been made to develop standardized care pathways representing best practices for a number of treatment processes, with the goal of standardizing and improving the quality of care. However, standardized care pathways cannot properly capture the high variability in patients’ characteristics, which often requires tailored adaptations. As a result, decisions related to how to personalize the treatment process for the patient at hand are often almost entirely left to healthcare professionals, with little support.

The PhD project will focus on investigating how the combination of process mining and artificial intelligence techniques can contribute to the personalization of patients’ treatment. Process mining techniques will be employed to gain evidence-based process analytics on treatment processes. These insights will then be used to build a prediction model able to estimate the outcome expected for the current patient. These results will hence be used to build a dynamic recommendation systems to support healthcare professionals in determining the treatment option that best suits the patient’s needs, taking into account multiple aspects related both to the efficacy of a treatment for a given disease and its effects on patient’s quality of life.

You, as a successful applicant, will perform the research project outlined above in an international research team. You will report research findings at international conferences and workshops, and in high-quality scientific journals.  The research will be concluded with a PhD thesis. A small teaching load (on average about 10%) is part of the job description.

The project will be supervised by Dr. Laura Genga and Remco Dijkman. You will be based in the Information Systems group in the faculty of Industrial Engineering and Innovation Sciences. The PhD position is funded by EAISI (Eindhoven Institute of Artificial Intelligence Systems), so that collaboration will also involve AI researchers of the Institute in various disciplines.


  • You have a Master’s degree in Computer Science, Data Science, AI, Information Systems, Industrial Engineering, or a similar field of study.
  • You have a strong affinity with interdisciplinary research.
  • You can work on a challenging topic that has both fundamental and applied research aspects.
  • You can implement ideas in software prototypes.
  • Your communication skills are excellent as is your proficiency in English and your ability to collaborate in an international setting.


  • A challenging job in a dynamic and ambitious university.
  • A PhD appointment for a period of 4 years with target start date in March 2021.
  • Gross monthly salary is €2.395,- in the first year up to  € 3.061,- (gross) in the fourth year on a full-time basis.
  • A yearly holiday allowance of 8% and 8.3% end of year allowance.
  • A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, savings schemes, coverage of costs of publishing the dissertation and excellent sports facilities).

Informatie en sollicitatie

More information
Do you recognize yourself in this profile and would you like to know more? Please contact Laura Genga, l.genga[at] For information about terms of employment, please contact Susan Opgenoorth, HR Advisor, HRServices.IEIS[at] or +31 40 2474465. Are you inspired to know more about working at TU/e? Please visit

Your application must contain the following documents (all in English):

  • Cover letter (1-page max), which includes a motivation of your interest in the vacancy and an explanation of why you would fit well for the project.
  • Detailed curriculum vitae.
  • List of courses you have taken in Masters and Bachelor programs (including grades).
  • Results of a recent English language test, or other evidence of your English language capabilities.
  • Name and contact information of two references.