Internships

Would you like to intern with us?

CoRiTeL (Telecommunications Research Consortium) is seeking graduates in STEM disciplines (Science, Technology, Engineering, Mathematics) who are ambitious and eager to pursue a research path in 5G and 6G networks, Artificial Intelligence, Cloud computing, and eHealth by adopting cutting-edge technologies.

If you are interested you can send your CV to info@coritel.it

Machine Leagning algorithm applied to the Intent-Based Networks

The internship proposed at the CoRiTeL consortium offered an opportunity to develop skills in the field of intent-based networks and the application of Machine Learning.

The main objective has been the analysis of network administrators' and users' intents to create cutting-edge human-machine interfaces, simplifying and optimizing network management. Through a thorough study of scientific literature and the analysis of existing solutions, the intern gave the opportunity to apply libraries such as Spacy and NLTK to translate written sentences into human-readable network policies.

The ultimate goal of the internship was to contribute to innovation in the field of computer networks by developing advanced solutions for network management through the application of Machine Learning.

Deep Learning algorithm to diagnose cardiac pathologies

According to statistics reported by the World Health Organization, in 2019 cardiovascular diseases caused approximately 31% of global deaths.

The application of new Artificial Intelligence technologies to common tools for diagnosing heart diseases, such as electrocardiograms and other patient-related data, can help in diagnosing and preventing this type of illness.

The internship involved collaborating with our research team for the development and evaluation of machine learning and deep learning algorithms for diagnosing cardiac pathologies.

Agentic AI system for Smart Buildings automation

This project focuses on the design and development of an agentic system for smart buildings based on the n8n automation platform. The main objective is to create an intelligent, AI-driven architecture capable of autonomously managing IoT devices within domestic environments.

Through the integration of AI agents, workflow orchestration, and event-driven automation, the system is designed to monitor, coordinate, and optimize home subsystems such as lighting, climate control, energy consumption, and security. Particular attention is given to adaptability and personalization, enabling the system to dynamically adjust its behavior according to users’ preferences, habits, and contextual data.

The ultimate goal of the project is to develop a scalable and intelligent automation framework that enhances comfort, efficiency, and sustainability within smart living environments by leveraging agent-based Artificial Intelligence.