Data Science Internship - Fabular-Smart interpretations (Erasmus+)

Data publikacji: 2019-06-26 10:11:56


Data Science Internship!

Chciałbyś dołączyć do międzynarodowego zespołu, który tworzy rozwiązania oparte na danych i sztucznej inteligencji dla sektora kultury?
Aplikuj na staż w Bremie (Niemcy) w ramach programu Erasmus+


Fields: Communication and Information Sciences, Engineering and/or Technology, Mathematics and/or Informatic.


Duration: 4 - 6 months

Application deadline: 15.07.2019

Commitment: Full-time

Description: Internship in Machine Learning 


About us

  1. is a small, early-stage start-up and team, based in Bremen, Germany. It develops data-driven and AI solutions for the cultural sector. Our main goal is to provide cultural institutions with a set of tools for data integration, interpretation, and distribution. To know more about us, we invite you to take a look at our website:



Bremen is a vibrant, multicultural, and bike-friendly city in northern Germany.  Among its 550,000 inhabitants, 30,000 students attend the two universities and four higher education colleges, which have over 165 research institutes and strategic partners, such as the Airbus Defence and Space headquarters and a major Mercedes Benz plant. In addition, Bremen counts with with more than 350 high-tech companies in its Technology Park. Bremen is also located within a bit more than 1 hour distance from two other main German cities, namely Hamburg and Hannover. 


Your Role

This is a great opportunity for a talented individual interested in the mix between culture and technology (machine learning and programming) to gain hands on experience with this innovative startup. Currently, we are in the process of developing our platform, called Artfacts. The mission of the internship is to support product development by assisting the team to implement specific platform modules under the SCRUM framework. We appreciate new insights, therefore you will be encouraged to give input from day one.




Design and develop Machine Learning (ML) models in TensorFlow.

Familiarity with concepts such as Deep Neural Networks and Natural Language Processing.

Good critical thinking and problem-solving skills as well as a keen eye for detail.

Ability to work in an agile team following the SCRUM methodology.

Good oral and written English communication skills.

Eligible to work in Europe and be selected for the ERASMUS Grant Internship.


Desirable Skills:

Good Experience and Knowledge of Node.js and React.js.

Good Experience and Knowledge of Mobile Development for IOs and Android Platforms.



English: Independent User B1


Level of Studies: 



Working hours:

Our working hours are flexible and and we are open to different types of internships.



When applying please send us your full CV and cover letter, link to any websites or online portfolios you may have developed. You can also include professional references or professional reference letters from previous working experiences.


Please, note that you need to be currently enrolled in a Master's in Computer Science or related field or you have recently graduated. Developers with a PhD or studying towards a PhD are also welcome to apply as we can offer a research experience.


Please send your application to:

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