Research Assistants (AR) - Informatics (Prof.ssa Russo, Barbara- pos. 2)

Call

Rector's Decree n. 2064/2024 of 22.11.2024

Call(pdf)

Online application (link)

Website of the procedure (link)

Project

Behaviour-enabled IoT (BeT)Project PRIN 2022 BeT - code 2022TEPX4R European Union Funding – NextGenerationEU – PNRR M4.C2.1.1. + CyberSecurity Lab (CSLab) CUP I53C23001690009 Project acronym “CSLab” project code “EFRE1039” Programme EFRE- FESR 2021-2027

Deadline for sending applications and publications

17.12.2024 at 12:00 PM (noon)

Number applications

2

Description of the research activity:

The fixed-time research assistant contract is part of Behaviour-enabled IoT (BeT) financed by Unione Europea – NextGenerationEU within the framework of Missione 4 “Istruzione e Ricerca” del Piano Nazionale di Ripresa e Resilienza – Componente C2 – investimento 1.1, Fondo per il Programma Nazionale di Ricerca e Progetti di Rilevante Interesse Nazionale (PRIN). Task 1: Modelling of Human behavior patterns The researcher will define approaches and tools to capture, understand and model human behavioural patterns in relation to Behaviour and IoT technology (BeT technology), by extending existing theories, considering the possible influence of the AI technologies to human decisions as well as the explainability of their recommendations. Task 2: Bi-causal interaction patterns The researcher will investigate emerging interaction patterns between humans and BeT systems. They will use qualitative and quantitative approaches to reason on QoE-QoS values derived from the use cases and simulations and thus, determine correlation and bi-causality links between changes of human behaviours and the QoE-QoS. Task 3: QoE-QoS anti-pattern detection The researcher will develop a definition of anti-patterns that accounts for QoE degradation in addition to more traditional quality aspects. The researcher will develop monitoring methods to detect (transient) QoE-QoS degradation and trace it down to possible causes, including design factors, combined with environment and human factors. Task 4: setting up, executing and reporting empirical studies