Ongeveer 23 uur geleden - Technische Universiteit Delft (TUD) - Delft
PhD position in Process Mining (1.0 FTE)
Join our interdisciplinary team to develop algorithms and techniques for analyzing and mining complex processes.
- Domplein, Utrecht, Utrecht
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 - 40 uur
- € 2395 - € 3061 per maand
Immense amounts of event data are being recorded across different application domains ranging from healthcare and social media to logistics and finance. Process mining is a research field that aims to analyze these event data, collected in the form of event logs, to derive diagnostics and gain valuable insights into process behavior. The results can be used to improve process performance and compliance. Two main tasks of process mining are (1) to discover a process model from the input event log to understand the process behavior, known as process discovery, and (2) to check the compliance of recorded behaviour against the prescribed process descriptions, known as conformance checking. The abundance of commercial process mining tools illustrates the uptake of process mining.
A five-year PhD grant on Process Mining is offered by the Department of Information and Computing Sciences at Utrecht University. The position consists of 70% research and 30% teaching, so you will also be involved in supporting the preparation and teaching of Bachelor's and Master's level courses, supervising student theses, managing research infrastructure, and participating in public outreach. The project is unique in the sense that you, as the candidate, have plenty of freedom in choosing your own topic of interest across the many opportunities in Process Mining, allowing you to develop a strong academic profile as a competent Researcher and competent Teacher. Process Mining offers to analyse processes and improve them in a data-driven manner. The topics include, but are not limited to, process discovery, conformance/compliance checking, process comparison, predictive process monitoring, robotic process automation, and event data preprocessing. You will be part of the Business Process Management and Analytics (BPMA) group , led by Prof Hajo A. Reijers and will work under the daily supervision of Dr ir Xixi Lu.
We are looking for candidates that meet the following criteria:
- a Master’s degree in Computer Science, Data Science, or a related discipline;
- a strong interest in conducting research;
- well-developed programming skills - candidates are expected to realize research ideas in terms of prototype software;
- knowledge of data mining, machine learning, process analytics, predictive analytics, or big data;
- good communicative skills in English, both in speaking and in writing.
Process mining is a young, emerging field, where people work 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. By following this PhD program, you will be prepared for a range of interesting, data science related jobs in both academia and industry.
We offer an exciting opportunity to contribute to an ambitious and international education programme with highly motivated students and to conduct your own research project at a renowned research university. You will receive appropriate training, personal supervision, and guidance for both your research and teaching tasks, which will provide an excellent start to an academic career.
In addition, you will have:
- the opportunity to work in collaborative, social, and dedicated teams of Researchers;
- a full-time position for 5 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.
If you have any questions about this position, please contact Dr ir Xixi Lu (Assistant Professor), via email@example.com or Prof Hajo Reijers, (Full Professor), via firstname.lastname@example.org.
Do you have a question about the application procedure? Then please send an email to email@example.com.
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