PhD Position in Human Factors Engineering for Automated Vehicles

Descrizione

PhD Position in Human Factors Engineering for Automated Vehicles Sintesi in italiano (traduzione automatica): Questa posizione di dottorato è parte del progetto SMARTCAV, finanziato dalla Regione Bourgogne–Franche-Comté in Francia. Il progetto coinvolge diversi laboratori di ricerca e si concentra sull'ingegneria dei fattori umani per veicoli automatizzati, con l'obiettivo di migliorare la sicurezza durante la guida automatizzata. Il candidato selezionato condurrà studi sperimentali utilizzando un simulatore di guida e un veicolo strumentato, occupandosi di progettazione di protocolli, acquisizione e analisi dei dati. È richiesta una laurea magistrale in ingegneria, psicologia o un campo correlato. La posizione è affiliata alla SMI Doctoral School e si svolgerà principalmente presso il laboratorio LISPEN a Chalon-sur-Saône, con soggiorni pianificati presso UTBM e viaggi occasionali ad altri laboratori. La durata del finanziamento è di 36 mesi, con inizio previsto il 1 ottobre 2026. This PhD position is part of SMARTCAV, a major project funded by the Bourgogne–Franche-Comté Region in France through the EIPHI Graduate School. SMARTCAV brings together several research laboratories in the region, including LISPEN, ELLIADD, DRIVE and CAPS, combining expertise in driving simulation, human factors, cognitive sciences and artificial intelligence to improve the safety of automated vehicles, from SAE Level 2 to Level 4. The overall objective of the project is to develop innovative solutions for the early detection of drowsiness, reduced alertness and changes in the driver’s cognitive state during automated driving. The main scientific challenges involve modelling attentional dynamics and identifying relevant multimodal indicators, including brain activity, heart activity, skin temperature, head movements and eye tracking. The specific objective of this PhD thesis is to design an artificial intelligence-based driver assistance system aimed at continuously improving the safety of automated driving and the driver’s metacognitive skills. The successful candidate will conduct experimental studies using a driving simulator and an instrumented vehicle to collect the data required for the development and validation of artificial intelligence models. Main activities will include literature review, experimental protocol design, participant recruitment and follow-up, data acquisition and processing, statistical analysis, interpretation of results, collaboration with researchers involved in the project for the development and evaluation of AI models, scientific writing and dissemination of results. The PhD will be carried out in close collaboration with a postdoctoral researcher specialising in computer science and artificial intelligence, who will contribute in particular to the development of machine learning and deep learning models. The PhD will be affiliated with the SMI Doctoral School at Arts et Métiers, ED 432, and conducted in collaboration with the University of Technology of Belfort-Montbéliard, UTBM, and Université Bourgogne Europe. The successful candidate will be based mainly at the LISPEN laboratory at the Arts et Métiers Institute in Chalon-sur-Saône, with planned stays at UTBM and occasional travel to the CAPS laboratory in Dijon and the DRIVE laboratory in Nevers. The position is funded for 36 months, with an expected starting date of 1 October 2026. Applications should include a detailed CV, a cover letter, master’s degree transcripts and any relevant letters of recommendation. Applications should be sent by e-mail to: Jean-Rémy Chardonnet: jean-remy.chardonnet@ensam.eu Mohsen Zare: mohsen.zare@utbm.fr Olivier White: olivier.white@ube.fr Application deadline: 20 August 2026. Selection interviews are expected to take place during the week of 24–30 August 2026. Further information about the laboratories: LISPEN: https://lispen.artsetmetiers.fr/ and https://institutchalon.ensam.eu/ ELLIADD: https://elliadd.univ-fcomte.fr/ DRIVE: https://drive.ube.fr/ CAPS: https://u1093.ube.fr/ Annuncio in inglese. Fonte: Euraxess (Commissione europea).