[[apologies for cross posting]] We are seeking a motivated researcher for a* fully funded* research fellowship position (Italian Assegno di Ricerca – Post-Doc Equivalent) on topics related to *Decision Support, Human-AI Interaction and eXplainable Artificial Intelligence*, with a special focus on *biomedical informatics and medical decision making*. The position regards a recently funded Italian *PRIN PNRR project “InXAId* - Ricerca nel campo dell'interazione con l'intelligenza Artificiale spiegabile nel processo decisionale medico” (Research In The Field Of Interaction With Explainable Artificial Intelligence In Medical Decision Making"), under the scientific supervision of *Prof. Federico Cabitza (PI) and Prof. Silvana Quaglini*. The candidate will join the *MUDILAB *research group ( https://mudilab.disco.unimib.it/), at the University of Milano-Bicocca, in Milan, Italy and work in close collaboration with the BMI laboratory ( www.labmedinfo.org) of the University of Pavia, in Pavia, Italy. *More details* - Position: Research Fellow / Assegnista di Ricerca (post-doc equivalent) - Location: Department of Informatics, Systems and Communication of the University of Milano-Bicocca, Viale Sarca 336, 20126, Milan, Italy - Application *Deadline*: *11th April 2024*, 12.00 (Italian Time) - *Link to the Call* (with instructions on how to apply): https://www.unimib.it/ateneo/gare-e-concorsi/cod-24a061 - Duration: *17 Months*, tentatively starting in June 2024. - *Gross Salary: **3,351.00* *Euros per month* (According to Italian Law, that amount is not subject to income tax, but only to retirement funds; thus, the net salary should be slightly higher than 2,400 Euros.) - The selected researcher will advance Human-AI collaboration in medical decision-making. Key tasks include: - Developing Explainable AI (XAI): Innovate in XAI and Uncertainty Quantification for clinical decision support systems (CDSS). - Designing Human-AI Protocols: Implement and test protocols that enhance decision-making and trust in AI processes. - Empirical Analysis: Conduct experiments and data analysis to evaluate AI system effectiveness and decision-making impact. - Academic Outreach: Publish findings in scientific venues, attend conferences, and engage in interdisciplinary collaboration. - Teamwork: Work with a diverse team, integrating insights from clinicians, computer scientists, biomedical engineers and psychologists. The postdoc will also supervise PhD students, master degree students, and work in collaboration with them. - This role demands strong AI and HCI expertise, ideally with a focus on healthcare applications. The project offers an opportunity to significantly contribute to both academic research and practical healthcare advancements. *Admission Criteria* To participate in the call, a master degree in Computer Science (LM-18 ), or Computer Engineering (LM-32 ), or Statistical Science (LM-82 ), or Techniques and methods for the information society (LM-91), or Biomedical engineering (LM-21 ), or Cognitive science (LM-55), or Philosophical Sciences (LM78) or equivalent foreign degree, is required. A PhD is not required, but recommended. Previous background in AI and HCI is also highly recommended. *About the Laboratory* The MUDILAB at UNIMIB mainly focuses on the development and evaluation of decision support systems and eXplainable AI - human interaction protocols. Currently, the lab has two faculty members, three funded PhD students and two post-doc. The founders, the head Prof. Federico Cabitza and Prof. Davide Ciucci, have both been counted among the world's top 2% of researchers in AI and medical informatics for years, according to the list curated by Stanford researchers. The MUDI group has a recent track record of previous publications in prestigious venues (CHI, Interact, AAAI, ECAI, …) and research projects on both fundamental and application-oriented research, in collaborations with several hospitals and academic partners. The BMI lab at UNIPV has a long tradition (dating back to the mid 80s, with its founder Prof. Mario Stefanelli) of research in biomedical informatics and AI in medicine. Led by prof. Silvana Quaglini, the lab is the biggest in Italy in its field and counts 7 faculty, 2 post-docs, and 5 PhD students (enrolled either in the Biomedical Informatics PhD @UNIPV or in the National PhD in AI - health&life sciences pillar). Both groups aim to provide its members a friendly environment with strong supervision, in which individuals can grow and let their full potential flourish. We regularly organize group meetings and gatherings outside the lab to keep the team motivated and encourage a good work culture. For more information, do not hesitate to contact Prof. Federico Cabitza, at federico.cabitza [at] unimib.it