[[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
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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).
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Designing Human-AI Protocols: Implement and test protocols that
enhance decision-making and trust in AI processes.
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Empirical Analysis: Conduct experiments and data analysis to evaluate
AI system effectiveness and decision-making impact.
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Academic Outreach: Publish findings in scientific venues, attend
conferences, and engage in interdisciplinary collaboration.
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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