Student Assistant (f/d/m) 40h/month - Scientific Research / Teaching Support
We are looking for a student assistant (40h/month) with a scientific research focus / teaching support for our interdisciplinary project ENKIS. The position is limited until October 31st, 2025.Identifier: HCC2022-SHK-19
Application deadline: extended until March 31, 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 interested in how to develop sustainable and explainable artificial intelligence?
As a student member in the research group Human-Centered Computing you have the opportunity to do just that by supporting us in our research in the area of Human-Centered Explainable AI. Current research in this area aspires, among other things, to offer users of AI technologies explanations regarding data and models used, so that fairness and transparency can be ensured.
You will primarily support the realization of the ENKIS research project and work closely with the team of the HCC research group. In this research project, we establish sustainable AI-related study programs for responsible artificial intelligence. You will support us in providing students with an understanding of social responsibility during the integration of AI in systems and products. In particular, you will support us in the preparation and realization of the Human-Centered Data Science course.
- Assist with research tasks (literature review, research of state-of-the-art approaches)
- Support in the design, development, and evaluation of responsible and explainable AI systems
- Support in the execution of exercises
- Support in the preparation of course material, in particular, preparation of programming assignments and example implementations
- Support in the experimental setup of a crowdsourcing experiment
- Study of computer science or a related field (business informatics, media informatics, data science, human factors / human-machine interaction, bioinformatics, psychology)
- Experience in working with Git and Jupyter notebooks
- Basic knowledge of Data Science and libraries (e.g. Tensorflow, PyTorch, Keras, Pandas).
- Knowledge with interpretability tools (e.g. LIME, SHAP) is desirable
- Good German and English language skills, both written and spoken
- Independent and reliable way of working as well as pronounced willingness to learn
- 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: firstname.lastname@example.org
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
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.