Академическая Работа

в Нидерландах

REQUIREMENTS

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.

CONDITIONS OF EMPLOYMENT

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.