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Early Stage Researcher / PhD Position (f/m/d) in Science and Technology Studies (STS), Department Data Archive for the Social Sciences
GESIS - Leibniz-Institute for the Social Sciences
GESIS - Leibniz-Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
Starting 01st July 2020 at the latest our department Data Archive for the Social Sciences (DAS) in Cologne, Germany, is - within the
Marie Skłodowska-Curie Innovative Training Network (ITN) "NoBIAS" - looking for an
Early Stage Researcher in Science and Technology Studies (STS)
(PhD Position, working time 100%, limited for 3 years)
"NoBIAS - Artificial Intelligence without Bias" is a project funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 860630.
NoBIAS aims at developing novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions. The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency.
NoBIAS will train a cohort of 15 ESRs (Early-Stage Researchers) to address problems with bias through multi-disciplinary training and research in computer science, machine learning, artificial intelligence, law and social science. ESRs will acquire practical expertise in a variety of sectors from healthcare, telecommunication, finance, marketing, media, software, and legal consultancy to broadly foster legal compliance and innovation. Technical, interdisciplinary and soft skills will give ESRs a head start towards future leadership in industry, academia, or government.
You will work on the exploration of the social and technical processes that shape the generation of bias in AI-based decision systems, focusing on the organizational
and cultural context of their emergence and with particular attention to the data and artefacts that are in use. You will develop
GESIS offers an exciting work environment for interdisciplinary research at the interface between the social sciences and computer science. As an infrastructure institution, we promote social science research and cooperate with renowned international research institutes.
GESIS supports your career development. We offer a wide range of
career opportunities in an attractive and rewarding work environment that allows you to carry out your tasks in a creative and autonomous manner. You will work in an international environment in the heart of Cologne and benefit from our flexible working conditions as well as our extensive internal and external networks.
GESIS is an equal opportunity employer and adheres to disability regulations.
We are a family-friendly employer and have been certified by the audit
Work&Family since 2010.
The position is available on a full-time or part-time basis.
You will find further information here.
methodological expertise in
combining attention to human and non-human actors in AI-based decision making systems and contribute a new understanding of the sociotechnical processes leading to algorithmic bias.
Masters degree in a social science discipline with a focus on Science and Technology Studies (STS) and ideally on algorithmic regimes, algorithmic accountability or a similar topic
Training and/or exeprience in ethnography or related approaches (e.g. praxeography), ideally within the context of organizations
Experience in or willingness to engage in computational methods
Experience in or willingness to engage in quantitative survey methods
"must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account."
"must be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree".
Detailed CV in Europass format (template available here) in English, highlighting your achievements and fit to the applied position;
Scans of BSc/BA and MSc/MA transcripts, with certified translation in English (if the degree qualification is not in English or in the language of the hosting country);
A motivation letter in English, highlighting why you will be a good fit for the position and why you want to be a NoBIAS ESR to carry out of a PhD;
Contact details or recommendation letters of two referees in English or in certified translation;
Proof of excellent command of English (e.g., IELTS, TOEFL, Cambridge or equivalent). This is not required in case of native English speakers (i.e., English is your mother tongue).