*1 Post-doc position (2 years) on  XAI & Argument Mining in Medicine*
*Université Côte d'Azur, CNRS, Inria, I3S, France*

Title: _Integrating machine predictions and argumentative explanations
for explanatory argument-based dialogue_

*-- Context --*
Argument(ation) mining, the new and rapidly growing area of Natural
Language Processing (NLP) and computational models of argument, aims at
the automatic recognition of argument structures in large resources of
natural language texts. In the clinical domain, argument mining has
been proved to be beneficial in providing us with methods to
automatically detect in text the argumentative structures that are at
the basis of Evidence-Based Medicine (EBM).

While neural networks for medical diagnosis have become exceedingly
accurate in many areas, their ability to explain how they achieve their
outcome remains problematic. The goal of this project is to enable
clinical prediction systems to engage in argument-based explanatory
dialogues with humans, whereby clinicians will be able to argue with
the system in natural language. In particular, we focus on elaborating
argumentative explanations to diagnosis predictions, so that to support
clinicians to make informative decisions.

The postdoc positions is funded by the CHIST-ERA ANTIDOTE project.

*-- Keywords --*
Evidence-based decision making in medicine, argument-based explanation,
explanatory natural language dialogues

*-- Research fields --*
Artificial Intelligence, Natural Language Processing, Machine Learning

*-- Research group --*
WIMMICS (http://wimmics.inria.fr/) is a research team of Université
Côte d'Azur (UCA), Inria, CNRS. The research fields of the team are
graph-oriented knowledge representation, reasoning and
operationalization to model and support actors, actions and
interactions in web-based epistemic communities.

*-- Candidate profile --*
The candidate must hold a PhD in Computer Science, with a
specialization in Artificial Intelligence or Natural Language
Processing. The candidate must have strong skills on Machine Learning
frameworks and good English skills in writing and communication.

*-- Application process --*
Apply by sending an email directly to the supervisors
(Elena Cabrio, elena.cabrio@univ-cotedazur.fr and
Serena Villata, serena.villata@univ-cotedazur.fr).

*Deadline for applications: *** March 30th, 2022 ****

The application must include:
-   Curriculum vitæ.
-   Motivation Letter.
-   At least one letter of recommendation.