2 PhD Scholarships in the Area of Bias in Artificial Intelligence
The Department of Computer Science at the University of Pisa (UNIPI) has two open PhD positions in the area of Bias in Artificial Intelligence. Within the department, the research group KDD Lab (Knowledge Discovery and Data Mining) is actively involved in the area of Ethical Artificial Intelligence with pioneering contributions on discrimination discovery, fairness in ML, explainable AI, privacy, and segregation discovery.
The NoBIAS project
The 2 PhD positions are part of NoBIAS - Artificial Intelligence without Bias, a project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie - Innovative Training Networks (ITN), 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.
Candidates should have a two-year Master's degree (120 ECTS points) or equivalent degree (see EQF level 7) .Candidates may apply prior to obtaining their Master's degree but cannot begin before having received it. Their academic record is excellent.
Candidates care not only about AI, but also about the ethical dimension of computing systems, and they are motivated to learning and taking a critical and interdisciplinary approach that values the social sciences and humanities. Prior experience with topics with an ethical dimension is a plus (privacy/data protection, fairness/non-discrimination, explainability, bias and misinformation, etc.).
Candidates work efficiently and reliably, independently as well as in teams. They have very good communication skills and scientific curiosity. They are fluent in at least one programming language. Their English is excellent. Candidates are flexible and prepared to travel and to integrate into the local teams, while keeping a focus on your PhD and on delivering scientific and other project-related output.
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