Complexity Science Hub Vienna

Position ID: 2213-POSTDOC [#21645]
Position Type: Postdoctoral
Position Location: Vienna, Wien 1080, Austria [map] sort by distance
Subject Areas: computer science, network science, statistical physics, applied mathematics, data science, computational social science
Application Deadline: finished (2022/11/23, finished 2023/09/16)
Position Description:    

*** this position has been closed. ***

Postdoc Position

Multi-Criteria Fairness in Networks 

Complexity Science Hub Vienna 

€ 56.800 gross/year*, full time (40h) 

*according to the standard personnel costs and salaries of the Austrian Science Fund FWF

The Complexity Science Hub Vienna is a young research institution dedicated to a deeper quantitative and predictive understanding of complex systems for the betterment of society. We provide an exciting, creative, bureaucracy-free environment for open-minded visionaries who want to make a change and are brave enough to step out of mainstream science. 

We seek an excellent, creative, and highly motivated researcher with a PhD in computer science, network science, statistical physics, applied mathematics, data science, computational social science or related fields. The candidate must have a strong interest in multidisciplinary research, a genuine curiosity about fairness in AI systems, and a critical, open-minded, and collaborative spirit. Specific goals of this position include building multi-attributed socio-technical network models for understanding the emergence of intersectional inequalities and biases in network-based algorithms. The project is funded by a EU Horizon Europe grant (Multi-Attribute, Multimodal Bias Mitigation in AI Systems, Grant ID: 101070285) and implemented in close collaboration with other research institutes and organizations that are aiming for socially responsible AI solutions. The candidate will be working in the research team led by Fariba Karimi. 


You have a PhD degree and are proficient in the English language, both written and spoken. We expect you to have the proven ability to carry out research independently, as exemplified by past work that showcases your strong analytical, data analysis, and modeling skills. Good knowledge and experience in network analysis, fairness techniques in machine learning, and data science is required. Experience in programming languages for data retrieval, network analysis, and statistics (e.g., Python) is necessary. 

We offer a 2-year position (with the possibility of 1 year extension) for a postdoctoral researcher to work with Fariba Karimi in the Computational Social Science and Network Inequality team at the Complexity Science Hub Vienna, Austria. The successful candidate will have the opportunity to work at a highly interdisciplinary interface and will benefit from opportunities for a dynamic, collaborative, and international research environment. 


The successful candidate will play a leading role within this project, designing, managing, executing, and publishing research in collaboration with other researchers that are part of this project, at CSH, and elsewhere. The position is tied to the CSH Research Team on Network Inequality and you will work in collaboration with network scientists, physicists, computer scientists, and social scientists to analyze multi-criteria fairness in network-based algorithms and to develop intervention and mitigation methods. 


Please send your application material to with the subject line “PD Fairness in Networks”. The application includes a curriculum vitae, a list of publications, a brief research statement (why you think you are an excellent candidate in this topic and what research you would like to do with us), and any additional material that helps us to understand that you are research-oriented, technically skilled, and creative. Please also include names and full contact addresses of at least two individuals who are willing to write a letter of recommendation for you if we request it. We will start evaluating applications immediately. The call remains open until the position is filled. 
CSH is committed to the principle of equal employment opportunity for all applicants. All employment decisions are therefore based on job requirements, qualifications, merit, and organizational needs. We strongly encourage individuals from underrepresented groups to apply. 

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Complexity Science Hub Vienna CSH – Verein zur Förderung wissenschaftlicher Forschung im Bereich komplexer Systeme 

Josefstaedter Strasse 39, A 1080 Vienna, +43 1 59991 600,,, ZVR 709748150, UID ATU73235448, IBAN AT94 2011 1827 7437 8500

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