|Position||Non academic staff (supporting staff)|
|Department(s)||Department of Mathematics & Computer Science|
The small research group of Process Analytics is responsible for a number of different courses, both in the department’s Bachelor and in Master programs on data science and artificial intelligence, for students from many different backgrounds. Our research and education focusses on the analysis of process data. Such data originates from systems in which objects or people can be tracked over time. Think of patients in a hospital or suitcases in an airport. The analysis of such data brings additional challenges to the field of data science and artificial intelligence and our students are introduced to these challenges in our courses.
To strengthen our teaching team, we are looking for lecturers and we specifically invite also part-time candidates to apply. While knowledge of data science or machine learning is desired, it is more important to have experience in the supervision of small groups of students to coach them and assist them in bringing assignments to a good end. Your tasks will include:
- Supervising student groups working on data science assignments in close collaboration with the responsible lecturers who provide the content and with student assistants who support lecturers in the day-to-day supervision where applicable.
- Supervising individual students during their graduation projects (both Bachelor and Master level) at companies or at the TU/e.
- Reviewing student reports and/or exams in the digital systems the TU/e uses.
- Monitoring student questions in online learning platforms such as Canvas, Perusall and ANSdelft, helping lecturers to prepare lectures, tutorials or exams.
- The preparation (and depending on the profile teaching) of tutorial sessions for larger student groups.
We require an academic profile (at least a Master degree in an engineering field of science) and a thorough knowledge of the English language, both in speaking and writing (at least level C1).
Conditions of employment
- The position is initially fixed-term for two years. After two years, extensions are possible depending on the education load of the department.
- A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) 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.
Information and application
Do you recognize yourself in this profile and would you like to know more? Please contact prof. Boudewijn van Dongen.
For information about terms of employment, click here or contact HRServices.MCS[at]tue.nl.
Please visit www.tue.nl/jobs to find out more about working at TU/e!
We invite you to submit a complete application by using the ‘apply now’-button on this page.