Data-, Telecomspecialist vacatures in 's-Gravenzande

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TU Delft

Company TU Delft Type TA Vacancy Location Curius Sector Bachelor, Bachelor & Master Required language Dutch, English Commences at 15 April 2026 Finishes at 10 July 2026

Description

Teaching Assistant Position in Q4: "Data Science in Technische Bestuurskunde" For all TU Delft students - deadline 11 March

We are looking for teaching assistants for the course TB142Ic "Data Science in Technische Bestuurskunde", given in the first year of the BSc Technische Bestuurskunde, and starting in late April. The position runs from the end of March until early July.

REQUIREMENTS

You meet the following criteria:

• Interested in teaching

• Solid Python experience for data-analysis (numpy,pandas,matplotlib) • Experience with modelling and data visualization

• Experience with machine learning and artificial intelligence • Passion for understanding and communicating the limitations of data driven and AI approaches and how to use it responsibly

• Comfortable with programming tools such as 'git', 'github', 'conda' and 'command prompt or terminal'

• Understanding of AI tools impact programming and learning to program • Students from all faculties may apply

• Dutch language is a plus but not necessary

CONDITIONS

A contract for ~110 hours (based on 6-7 hours per week for 16 weeks from March - July). Payments are done based on hours worked via FlexDelft (https://flexdelft.nl/en/information-for-students/). The total number of hours may vary based on course developments.

EXPECTATIONS

You are expected to assist with:

• Preparations for the course

• Modernising the course

• Developing ipython notebooks for labs and practical assignments • Planning and support for offline and online teaching

• Brightspace support

• Supervision of working groups and assignments

• Giving feedback on assignments and project work

TEAM

You will make a vital contribution to the modernization of data and digitalization education in the Bachelor Technische Bestuurskunde, and to advancing teaching methods to account for the effects of AI on learning. You will be a part of a team with teachers and professors that can give you valuable input and advise on your teaching challenges.

APPLYING

Send your CV and a short motivation to Roel Dobbe, . Do this before Wednesday 11 March - end of day, but preferably as soon as possible - we will fill the positions once fitting candidates present themselves. In your motivation, mention your experiences with programming

(particular in Python), data-analysis and building machine learning models, and include relevant courses and accompanying grades.

Jaffalaan 5

2628 BX, Delft

Tel