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Crea una Job Alert gratuita per internship/m.sc. thesis: validation and benchmarking framework for power line inspection algorithms / bolzano

Internship/M.Sc. thesis: Validation and Benchmarking Framework for Power Line Inspection Algorithms

Pubblicato il 21-08-2026 - Fraunhofer Italia - IEC in Bolzano

Fraunhofer Italia with headquarters in Bolzano (Italy) is offering an internship position in its division Automation and Mechatronics Engineering (AME). AME conducts applied research in the most diverse aspects of digitalisation for the vantaggi of the regional stakeholders. The fields of expertise range from the extraction, analysis and optimisation of processes from operative production and logistic systems, novel control paradigms for production systems, design and prototyping of complex mechatronic systems, applications of artificial intelligence (AI) and machine learning (ML), real‑time data processing and process mining of business processes.

Are you a prospective student willing to undertake an experience with us? If so, apply for this position at Fraunhofer Italia!

The topic:

Validation and Benchmarking Framework for Power Line Inspection Algorithms

This internship and thesis topic focuses on developing a comprehensive framework for validating and benchmarking perception algorithms used in UAV‑based power line inspection. The objective is to establish standardized, reproducible procedures for evaluating the performance of algorithms that process multimodal UAV data, particularly RGB imagery and LiDAR point clouds.

The work will involve designing controlled test environments replicating inspection scenarios with mock‑up components, variable lighting, and environmental conditions. Synchronized RGB–LiDAR data will be collected to create reference datasets for algorithm evaluation.



The framework will define objective metrics and automated analysis tools to assess detection accuracy, localization precision, robustness, and computational efficiency.

A modular benchmarking suite will be implemented to allow easy integration and testing of algorithms, including those for object detection, semantic labeling, and data reduction. Results will be validated using ground‑truth annotations and precise geometric measurements.

Requirements:

- You are a university or high school student in a MINT discipline and looking for hands‑on experience.
- You have knowledge of programming in C++ or Python and a basic understanding of cameras and LiDAR sensors.
- You work independently, systematically, and with a high level of commitment, creativity, and team spirit.
- You are an EU citizen or have a valid work permit for Italy.
- You are proficient in English; knowledge of Italian or German is an advantage.
- The internship is carried out in presence at our premises in Bolzano.

Your task:

Your work will include setting up test environments, collecting and annotating data, developing evaluation tools, and analyzing algorithmic performance. Depending on the internship duration, specific aspects such as metric definition, dataset generation, or benchmarking automation may be prioritized. The topic can be extended into a bachelor’s or master’s thesis depending on your study program.

As an equal opportunity employer, Fraunhofer Italia treats all applications fairly and impartially, evaluating each candidate solely on their qualifications and suitability.

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