Our stages are exclusively for students! If you’re a bachelor’s or master’s student looking for a stage to do your thesis or to earn university credits, this opportunity is for you.
To apply, you must be currently enrolled in a recognized university program. Unfortunately, if you’ve already graduated or are not a student, you won’t be eligible for these positions.
New upcoming Computer Vision project:
Analysis and Recognition of Anomalous Lighting Conditions
This project involves conducting an analysis of the lighting conditions that affect the accuracy of results produced by Computer Vision Algorithms. Specifically, the study will focus on laboratory analysis equipment, where computer vision algorithms work through interactions with a human operator. Therefore, the lighting conditions do not depend solely on the internal lights of the equipment itself, but vary based on the ambient light in the environment where the equipment is placed.
The main phase of the activity involves an accurate quantification and evaluation of the different lighting conditions, with the goal of identifying those that cause errors in the results. These lighting conditions must then be carefully analyzed to recognize those that occur commonly (in which the algorithms should works correctly) and those that constitute anomalous situations (in which the algorithms cannot works). The aim of the project is also to develop strategies, based on computer vision and artificial intelligence, to recognize anomalous situations.
Real-time IoT data streaming [25001]
This project aims to develop a real-time sensor data transmission system that efficiently and cleverly processes data from distributed sensors while maintaining and ensuring low latency, high accuracy, and scalability. By increasing the number of connected devices, the system must be designed to optimize data flow, minimize delays, and maintain data integrity, enabling seamless real-time monitoring and analysis. By implementing robust and sound transmission mechanisms, we aim to deliver a fast, reliable, and scalable solution that meets the needs of critical applications.
Pre-configured Dev Containers for New Developers [25002]
Bringing new developers into a team should be an exciting and ideal experience and not a frustrating one filled with headaches. This project aims to create a pre-configured development environment that eliminates common onboarding barriers like dependency conflicts, library version mismatches, and manual configuration errors, basically most of the problems that new developers face to compete with the new environments that they are in. This system matters because the software development environments are becoming increasingly complex. Maybe it will happen that across one team, people work with different stacks and tools. Also, setting everything up manually can be time-consuming and frustrating and reduce productivity over time. By introducing a standardized, plug-and-play environment, developers can focus more on writing great code rather than troubleshooting setup issues that they face along the way.
Management of Real-Time and Predictive Alerts in an IoT Network [24003]
The primary objective of this project is to design and implement an advanced IoT Alert Management System that ensures effective monitoring of IoT networks by managing alerts generated from diverse sources.
These sources include field events, triggered directly by IoT devices or sensors, and real-time data analysis performed on Cloud, And additionally, leveraging predictive processing to anticipate potential issues.
Optimization of a 3D machine simulator biomedical laboratory [24006]
The objective of this stage/test is the optimization of an already existing 3D simulation software, used for monitoring the status of a biomedical machine specialized in liquids handling. The project focuses on the implementation of a detailed 3D viewer and accurate, which represents the state of the machine in real time, thus providing a “digital twin” of the same.
Analysis and Optimization of the BOM of an electronic board [24012]
The primary objective of this project is to analyze and optimize the Bill of Materials (BOM) for an existing electronic card. This involves a comprehensive review of all components used in the card’s design to reduce costs, replace obsolete components, and improve overall efficiency without compromising performance. By addressing these areas, the project ensures that the electronic card remains competitive, scalable, and reliable for future production.
Reverse Engineering of an Existing Gantry-Robot [24013]
The project focuses on three key objectives. First, reducing costs by identifying affordable yet reliable components. Second, enhancing the robot’s performance to meet modern industrial needs. Third, providing clear documentation to simplify replication and deployment.
This project aims to redesign and improve a gantry robot to reduce costs and enhance its performance. The process involves studying the current robot, creating detailed 3D models, and exploring alternative components to optimize its design. The ultimate goal is to deliver a solution that is affordable, scalable, and ready for practical use across various applications, all while ensuring thorough documentation for future use.
If you are interested in a freer approach or if you want to propose an idea yourself, take a look at our Lab or simply contact us!
These are the Academy initiatives available! If you want to consult the initiatives already carried out in the past, visit our Archive!