Years ago, a student insisted to work for us at Utrecht Data School as an intern. She said, "I'll work for you even if you have no budget". We let her persuade us, but that was the only instance we had an unpaid intern. It felt so bad that we sat up a real internship programme. Each year, btw. February and June, students whose programmes require internships can work with us. They are always paid!
Where did we get the money when we did not have room in our tight project budgets? ⬇️ #academia
At first, we used my speaker fees to pay our interns. Since then, we budget interns into the projects. We also developed an onboarding process & a mentorship programme for the interns. They meet once a week with a staff member who is not involved in their projects. Deal is, that they can only work once for 3 months full or max 6 part time as an intern, after that they have to fill a proper position as student assistant, or researcher if our budget allows. #academia #interns #labour
Most importantly, we want to offer great learning opportunities at Utrecht Data School. Students join ongoing research projects, and work hands-on with our external partners. Currently, we have positions open for very cool projects: Developing an audit process for AI; Imaginaries of digitization in Dutch municipalities; Urban Digital Twins; and Comparative analysis of gov algorithms. "All data are local" which is why these positions require Dutch:
https://dataschool.nl/nieuws/vacature-stageplek-data-school/ #Learning #academia
Vacature stageplek Data School

Deadline sollicitatie: 8 januari 2023Stageperiode: Blok 3 en/of blok 4 (6 februari 2023 t/m 30 juni 2023)Omvang stage: één blok fulltime of twee blokken parttime (20 uur p/w)Stagevergoeding per maand: €400,- bij fulltime en €200,- bij parttimeLocatie: Utrecht Data School, Drift 13, Utrecht. Thuiswerken is mogelijk.Interesse? Stuur een korte motivatie en CV naar Jeroen Bakker, via [email protected] Data School heeft in 2023 weer nieuwe stageplaatsen beschikbaar. Data School bestaat uit…

Utrecht Data School