Pica Code-062 NEAT: A Multi-Camera Platform for Neuroinclusive Ergonomic Assessment and Task Allocation
pOrganisation/Company UNIMORE Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 20 Nov 2026
- 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /p h3Offer Description /h3 pThe successful candidate will conduct experimental campaigns for the acquisition of motion data in industrial and laboratory environments using a multi-camera RGB-D system based on Orbbec Femto Bolt cameras, a commercial multi-camera Vicon Vero 2.2 IR system, and a 31-sensor Synertial inertial suit.
The candidate will analyse the collected data using the CLI, Revised NIOSH Lifting Equation, OWAS, RULAbr/and REBA indices, define criteria to support task allocation and sequencing based on ergonomic risk, and assess the technical, economic and environmental sustainability of the proposed solution. /p ulliItaly /li /ul pbEligibility of fellows: country/ies of residence: /b /p ulliOTHER /li /ul pbEligibility of fellows: nationality/ies: /b /p ulliOTHER /li /ul h3Selection process /h3 pselective public procedure based on qualifications and interview /p #J-18808-Ljbffr
- 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /p h3Offer Description /h3 pThe successful candidate will conduct experimental campaigns for the acquisition of motion data in industrial and laboratory environments using a multi-camera RGB-D system based on Orbbec Femto Bolt cameras, a commercial multi-camera Vicon Vero 2.2 IR system, and a 31-sensor Synertial inertial suit.
The candidate will analyse the collected data using the CLI, Revised NIOSH Lifting Equation, OWAS, RULAbr/and REBA indices, define criteria to support task allocation and sequencing based on ergonomic risk, and assess the technical, economic and environmental sustainability of the proposed solution. /p ulliItaly /li /ul pbEligibility of fellows: country/ies of residence: /b /p ulliOTHER /li /ul pbEligibility of fellows: nationality/ies: /b /p ulliOTHER /li /ul h3Selection process /h3 pselective public procedure based on qualifications and interview /p #J-18808-Ljbffr