Research Programme: Machine Perception and Intelligent Systems

Italian Ministry of Education, University and Research; Italia; In loco; EUR 18.000 - 26.000; Tempo pieno

Descrizione del lavoro

STIIMA CNR in Italy offers a research fellowship focused on developing and validating predictive AI models to interpret complex diagnostic data and support decision-making.

The role requires expertise in computer vision, data processing from vision systems or robotic platforms, and proficiency in Python and AI frameworks such as PyTorch and OpenCV.

Competenze

• Experience with AI techniques for interpreting complex data.
• Ability to develop robust data processing pipelines from heterogeneous sources.
• Familiarity with computer vision, perception, and 3D data analysis.

Mansioni

• Study AI techniques to develop predictive models for diagnostic data.
• Define use cases and develop proofs of concept.
• Develop robust, generalizable data processing pipelines.

Conoscenze

Computer vision

Data processing

3D data analysis

Semantic segmentation

XAI techniques

Python/JupyterLab

Strumenti

PyTorch

Scikit-Learn

OpenCV

Descrizione del lavoro

Organisation/Company Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA CNR Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 1 Oct 2026 - 18:00 (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

Study of AI techniques aimed at the development, training, integration, and validation of predictive models for interpreting complex diagnostic data and supporting decision-making. Definition of use cases for creating proofs of concept and developing robust, generalizable data processing pipelines for contexts characterized by highly heterogeneous information sources and operating conditions. Required skills include: expertise in computer vision and data processing from vision systems and/or robotic platforms; phenomena characterization and relevant parameters estimation; monitoring systems based on signal and image processing; semantic segmentation models and 3D data analysis; XAI techniques for the interpretability, explainability, and validation of model outputs; proficiency in computer vision and AI frameworks and libraries (e.g., PyTorch, Scikit-Learn, OpenCV); languages and development environments for scientific computing and data analysis (e.g., Python, JupyterLab)

• Italy

Eligibility of fellows: country/ies of residence:

• OTHER