Dear Corpora-list,

We are advertising a post-doctoral position in ML/XAI : 18 month at IMT Mines Alès (south of France), or IMT Business School, Evry (near Paris)

Last call for candidates, closing application date 20/09/2024.

Subject: Evaluation of the impact of XAI techniques on Human-Machine collaboration

Context: ENFIELD project, Horizon-funded European AI Network of Excellence on adaptive, sustainable, human-centered and trustworthy AI.

Objectives : Evaluate the impact of XAI methods on Human-Machine collaboration through the study of : Performance of the human operator in performing a task, in different contexts: alone, with the help of a predictive model for which decisions will be explained/not explained, with the help of an XAI technique, Types of human-machine collaboration (e.g. delegation, substitution, mediation), Potential biases induced by XAI techniques. A focus will be made on specific contexts of study (e.g., image classification or NLP tasks, XAI techniques based on local interpretability using attribution methods).

You will contribute to: Defining the study contexts (e.g. games, image classification) and test protocols to be considered. Selecting and implementing predictive models and XAI techniques. Set up the tools needed to carry out the experiments covered by the study protocols, e.g. development of simple games, decision interfaces. Implement the above-mentioned protocols on cohorts of human operators. Evaluate and promote the results obtained. Deadline for applications: 20/09/2024

Desired start date: 01/11/2024

Application and additional info: https://institutminestelecom.recruitee.com/o/post-doctorant-post-doctorante-...

Contacts :

Sébastien Harispe, Associate Professor sebastien.harispe@mines-ales.fr

Nicolas Soulié, Associate Professor nicolas.soulie@imt-bs.eu

Best regards, Andon Tchechmedjiev --

Andon Tchechmedjiev, PhD. Associate Professor of Artificial Intelligence and Computer Engineering at EuroMov Digital Health in Motion, IMT Mines Alès. Taxonomy and Semantics of Movement (SemTaxM) co-lead, Learning and Complexity group member. Research expertise: Deep Learning, Knowledge Engineering, Computational Linguistics and Semantics, Biomedical Informatics, Neuroengineering and Human Movement Processing