[Stellenangebote] Announcing two open research positions at HCC Research Group

[Glinka, Katrin]

Dear colleagues,

 

I would like to kindly ask you to spread this call for two open research positions in our Human-Centered Computing (HCC) Research Group at Freie Universität Berlin. We consider these positions as important and relevant research that we can use to make a social difference.

 

***First open position***

 

We are looking for a new team member for our research project “Enkis – Establishment of Sustainable Study Programs for Responsible AI".

 

This position is focused on exploring methods, approaches, and techniques in the field of Responsible AI and contribute them to the establishment of sustainable AI-related study programs at Freie Universität Berlin. The focus lies on the design of AI technologies, in particular on how we can prevent discrimination against individuals or inhibit invasion of privacy by basing the design and development of user interfaces and AI-based systems on the values associated with Responsible AI. Furthermore, the challenge at hand is to provide users of AI technologies with explanations regarding the data or models used in such a way that ensures fairness and transparency.

 

Further information about the position can be found here (Application deadline: Oct 4th, 2021):

https://www.mi.fu-berlin.de/en/inf/groups/hcc/open_positions/2021_WM_enkis.html

 

 

***Second open position***

 

We are looking for a new team member for our research project “PEACE – Privacy and Explainability for Secure e-Health".

 

The offered position is part of the research project PEACE "Privacy and Explainability for Secure E-Health". In the project, the researcher will work closely in an interdisciplinary research team consisting of security experts, ML experts and medical professionals and proactively contribute your knowledge, skills and creativity in a dynamic research environment. The interdisciplinary project PEACE is concerned with systems for digital self-tracking (data collection) in a health context. The aim of the project is to investigate methods that render self-tracking data sufficiently noisy (e.g. by applying differential privacy) so that direct identification of individual persons in aggregated data sets is no longer possible. At the same time, the applied methods need to assure that the statistical significance of the aggregated data is not fundamentally falsified and is still useful for medical research. The focus of the sub-project at the HCC Research Group lies on 'Privacy' and 'Explainability'. In this position, the researcher will develop and study novel interaction concepts (e.g. based on notice-and-choice or explainable AI approaches) that allow users to collect and share their data for medical analysis purposes while maintaining their privacy.

 

Further information about the position can be found here (Application deadline: Oct 4th, 2021):

https://www.mi.fu-berlin.de/en/inf/groups/hcc/open_positions/2021_WM_peace.html

 

Our profile:

The Human-Centered Computing Research Group (HCC – hcc.mi.fu-berlin.de) stands for an interdisciplinary team in the field of collaborative computing and human-computer interaction (HCI).

Our focus lies on advancing research and the design of socially responsible technologies. We analyze the interconnectedness of data, algorithms and social context in order to enable sustainable human-machine collaboration. The current application focus is on machine learning technologies related to privacy, reflection and explanation, with a focus on interactive and conversational user interfaces. We understand these technologies as socio-technical systems that are located in specific contexts of use. This is also the basis for our methodological approach to system design, which is based on critical practice.

 

Please do not hesitate to contact me if you have any questions about this call.

 

Kind regards,

Katrin Glinka

 

 

-- 

Katrin Glinka 

Leitung HCC Data Lab

 

FB Mathematik und Informatik

Institut für Informatik

Human-Centered Computing (HCC) 

Königin-Luise-Str. 24/26, Raum 111

D - 14195 Berlin

Email: katrin.glinka at fu-berlin.de 

https://www.mi.fu-berlin.de/inf/groups/hcc