A two-year PostDoc position open, to join the XAI team in Pisa, Italy

Deadline for online applications: Monday, 30 January 2023 at 13:00 CEST

Salary: approximately € 3.100 net per month, a competitive salary for Italian standards

Duration: 2 years. Online applications at following link (selection code: ass-inf2022-17)

LINK TO THE CALL

The successful candidate will work in an interdisciplinary team with top-ranked researchers at the KDD Lab, a joint Lab of University of Pisa, Scuola Normale Superiore and the Italian national Research Council (CNR) https://xai-project.eu/people.html

Join us to develop the future innovative models and methods for Human-centered, Explainable Artificial Intelligence for Collaborative Decision Making:

advanced eXplainable AI (XAI) paradigms in support of synergistic human-machine interaction and collaboration. These should be aware of the characteristics and expertise of the human being interacted with, and prevent potential pitfalls that are common in the XAI literature like confirmation and automation bias.

“human-in-the-loop” co-evolution of human decision making and machine learning models. Human decision makers and their AI assistant should learn from each other and jointly evolve to best exploit their respective strengths and overcome their respective weaknesses, optimizing the final outcome of the joint human-AI system.

The XAI ERC project https://xai-project.eu/ focuses on how to construct meaningful explanations of opaque AI/ML systems, following several research lines: how to devise machine learning models that are transparent-by-design, how to perform black-box model auditing and explanation, how to reveal data and algorithmic bias, how to learn causal relationships, how to enable fruitful conversation between human decision makers and AI decision support tools, how to make explainable AI work in concrete domains, such as healthcare, risk assessment, justice, etc.

See our publications here: https://xai-project.eu/resources.html

 

Ideal candidates should hold or be about to obtain a PhD degree in Computer Science,

Computer Engineering, Mathematics, Physics, Cognitive Sciences or related disciplines,

and a proven track record of excellent University grades and publications in relevant top-tier conferences and journals. Background on (some of) the following topics is appreciated: machine learning, deep learning, inductive relational learning, statistical learning, statistical physics of machine learning, knowledge graphs, causal reasoning and learning, counterfactual reasoning, cognitive models of learning and reasoning, human-computer interaction. Good written and spoken communication skills in English are required.

 

Applications must be entered exclusively online at: https://pica.cineca.it/unipi/ass-inf2022-17/ within the deadline of Monday, 30 January 2023 at 13:00 CEST

We are happy if the interested candidates also send us an expression of interest, containing the candidate’s CV accompanied by a letter of motivation and key publications. Please send your expression of interest (not mandatory) to dino.pedreschi@unipi.it and fosca.giannotti@sns.it and anna.monreale@unipi.it with subject: [XAI] Expression of interest.

 

Salary is approximately 48,000 Euro per year (gross, before taxes). Given the current tax regulation, this corresponds to approximately € 3.100 per month (net, after taxes), which is a competitive salary according to Italian standards. Appointments are expected to start in Spring 2023 (start date is flexible).

 

KDD Lab, the Knowledge Discovery & Data Mining Lab of ISTI-CNR and Univ. of Pisa https://kdd.isti.cnr.it/, is a pioneering initiative in data science & AI, established in 1994. KDD Lab is a core node of the Humane-AI-Net H2020 network of excellent research centers in AI https://www.humane-ai.eu, the coordinator of the SoBigData++ research infrastructure on Social Mining and Big Data Analytics https://www.sobigdata.eu and a partner of AI4EU, the EU on-demand AI platform https://www.ai4eu.eu/