Pica Code IPD-2026-062 NEAT: A Multi-Camera Platform for Neuroinclusive Ergonomic Assessment and Task Allocation

Italian Ministry of Education, University and Research; Italia; On-site; EUR 32,000 - 42,000; Full time

Job summary

UNIMORE in Italy seeks a researcher to conduct experimental campaigns for motion data acquisition in industrial and lab environments using a multi-camera RGB-D system (Orbbec Femto Bolt), Vicon Vero 2.2 IR, and a Synertial inertial suit.

The candidate will analyze the data with CLI, NIOSH Lifting Equation, OWAS, RULA and REBA indices, define criteria to guide task allocation, and assess the technical, economic and environmental sustainability of the proposed solution.

Qualifications

• Experience using motion capture systems and ergonomic assessment methods.
• Ability to analyze data with established indices (NIOSH Lifting, OWAS, RULA, REBA).

Responsibilities

• Conduct experimental campaigns for motion data acquisition using multi-camera RGB-D systems and inertial wearables.
• Analyze collected data with CLI and ergonomic indices to support task allocation and sequencing.
• Assess technical, economic and environmental sustainability of the proposed solution.

Job description

Organisation/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

Offer Description

The 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, RULA
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.

• Italy

Eligibility of fellows: country/ies of residence:

• OTHER

Eligibility of fellows: nationality/ies:

• OTHER

Selection process

selective public procedure based on qualifications and interview