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Student Assistant (f/d/m) 40h/month - Implementation of novel interaction mechanisms and concepts

We are looking for a student assistant (40h/month) with a tech focus for our interdisciplinary project DocTalk. The position is limited until January 31st, 2023.

Identifier: HCC2021-SHK-18
Application deadline: February 28, 2022

Official job announcement (in German)

The Human-Centered Computing Research Group (HCC) represents an interdisciplinary team in the field of collaborative computing and human-machine interaction. The focus is to advance research and design of socially responsible technologies by analyzing the intertwining of data, algorithms and social context to enable sustainable human-machine collaboration. The current focus is on machine learning technologies related to issues of privacy, reflection and explanation through interactive and conversational user interfaces. We understand these technologies as socio-technical systems that are situated in specific contexts of use. This is also the basis for our methodological approach to system design, which is based on critical practice.

Field of Activity

Are you a student in computer science or a related field and want to implement novel interaction mechanisms and concepts, e.g. in the field of conversational user interfaces?

As a student member of the research group, you have the opportunity to do just that by supporting us in working on challenging and relevant tasks in the medical context. With us, you will proactively contribute your knowledge, skills, and creativity in the field of human computer interaction.

Your Tasks:

  • Assistance with research tasks (literature research, research of state-of-the-art approaches)
  • Support the design, development and evaluation of context-specific datasets and ML systems
  • Support the design and implementation of novel approaches for conversational user interfaces
  • Assistance in creating and training a machine learning system for chatbots with the help of an appropriate framework (e.g. Rasa)

Your Skills:

  • At least two completed semesters in computer science or a related field (business informatics, media informatics, data science, human factors / human computer interaction, bioinformatics, psychology).
  • Knowledge of software development (such as Python) and web development (such as HTML, CSS, Javascript).
  • Experience and knowledge in Machine Learning (like Natural Language Processing using TensorFlow, Scikit-learn) and/or chatbot development (e.g., using Rasa, Dialogflow) is desirable
  • Basic experiences in collaborative software development (e.g., through term papers, software projects) are a plus
  • Good language skills in German and English, both written and spoken.
  • Independent and reliable way of working and a pronounced willingness to learn.

Our values:

  • We are committed to open source software, open science, and free access to knowledge
  • We offer an open, interdisciplinary and dynamic working environment where all people with different backgrounds and experiences are welcome
  • Regular team exchange and promotion of your individual qualities and skills

Please send your detailed application including cover letter, curriculum vitae, references and (if available) link to your Github profile with current work samples electronically via e-mail and in PDF format (preferably as ONE document) to Prof. Dr. Claudia Müller-Birn: hcc@mi.fu-berlin.de

As remote work is currently encouraged at Freie Universität Berlin, we ask that you apply electronically by e-mail. The processing of a postal application cannot be guaranteed.

By submitting an electronic application you are agreeing to all files being edited and stored. We give explicit notice that by not using encryption for sending in your application electronically, the Freie Universität Berlin cannot guarantee or be accountable for the security of any private information.

Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Informatik
Forschungsgruppe Human-Centered Computing
Frau Prof. Dr. Claudia Müller-Birn
Königin-Luise-Str. 24/26
14195 Berlin (Dahlem)


  • Disabled persons will be given preference in the case of equal qualifications.
  • Freie Universität Berlin expressly encourages women to apply.
  • Applications from people with a migration background are expressly welcome.
  • Unfortunately, Freie Universität Berlin cannot cover the costs of interviews.
  • Application documents will not be returned. Please submit copies of your documents only.