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Are you interested in working on a high-impact and short-term project to positively impact thousands of people? Are you passionate about creating software that stretches the limits of technology and beauty? If so, we have the perfect job opportunity for you.
Depending on your expertise and experience, we will together find the right fit and topic which could be Web-development (ReactJS, Angular, Python, Plone, Volto), data analysis (Google Apps Script, Google Sheets, Data Studio), or another topic you want to propose.
We are a young team of international professionals. You will be assigned high responsibility tasks from day one. Every Monday, we analyze the success of the previous week and plan the upcoming. We have lunch together every day. On Fridays, the entire team joins for drinks as we stop working half an hour earlier.
Send your CV, cover letter, and link to GitHub to email@example.com.
INTK is an ambitious studio based in Utrecht (25 minutes from Amsterdam). We are specialized in developing digital strategies for cultural organizations.
We work with museums, theaters, film houses, castles, libraries, festivals, etc. Some of the cultural organizations we work with are: NEMO Science Museum, Stadsschouwburg Utrecht, Film Theater Hilversum, Loevestein Castle, Library Utrecht, Le Guess Who festival, etc.
Our mission is to change how people relate to culture. We are inspired by the transformation that happened in the sports sector. Forty years ago, very few people sported. Today, many people dedicate several hours a week to sport. We would like to bring a similar change to the cultural sector. Our goal is to encourage people who love culture to engage in cultural activities on a weekly basis. For example, we want to encourage people that love cinema and rock concerts to go every week to the cinema and once a month to a rock concert.
WHAT DO WE DO?
Currently, we are responsible for promoting and publishing online exhibitions and collections of several museums. Check out some of the work we have done:
We are in the initial phase of developing an app that works as a sports personal trainer but then for culture. Based on data mining and machine learning the app creates a schedule that encourages to go to cultural activities on a weekly basis.