CSH Vienna

We are looking for an excellent, creative, and highly motivated scientist
with a MSc or equivalent in computer science, network science, statistical
physics, applied mathematics, data science, computational social science or
related fields. The candidate is going to work in the data analysis of
multi-attributed online social networks 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 organizations that are aiming for
socially responsible AI solutions.

This is a 3-year PhD position to work with Fariba Karimi [1] in the
Computational Social Science and Network Inequality team at the Complexity
Science Hub Vienna, Austria [2]. The successful candidate will play a
leading role within this funded project, designing, managing, executing,
and publishing research in collaboration with other researchers within this
project and elsewhere. You will work in close 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 applications@csh.ac.at with the
subject line “PhD Fairness in Networks”. The application must include:

1. a curriculum vitae
2. a list of publications
3. 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)
4. any additional material that helps us to understand that you are
research-oriented, technically skilled, and creative
5. 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. We process your personal data in
accordance with the law (https://www.csh.ac.at/data-protection/).

More
info: https://www.csh.ac.at/wp-content/uploads/2022/11/CSH_Job_PhD_MULTI_CRITERIA_FAIRNESS_IN_NETWORKS.pdf

Best,
Lisette Espin-Noboa