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brain Academy

Pubblicato il 07-10-2026 - Brain Technologies in Beinasco

- brain Technologies is a leading company in Engineering Consultancy. We are involved in the most representative national and international company’s projects in Embedded Systems, Advanced Controlled Systems, Hardware Design in the key sectors of the industrial enviroment; Development of Innovative Products and Mechatronic Systems. Flexibility and attention to the continuous technology’s evolution, constant innovation and propensity for excellence, make us a global reference point to attain challenging goals up to date.

brain Technologies is a company of People in which everyone is the centre of our attention so we can create the right synergy to attain our challenging goals.
We are a Professional Team linked by the passion for our work. We want to become leaders of change and evolution. Thorough and continuous study, creativity and innovation are our constant commitment to growth. We want to face and launch challenges, to solve problems, to create process improvement and effective change. Our daily work is our daily passion.





Our proposal includes highly professional thesis works within Brain Technologies Innovation Center in Torino, Firenze or Roma.
At the moment, we are focused on the following topics:
- The course of study in computer, electronics, or mechatronics engineering
- New concept SW Architecture for Automotive Industry
- New concept E/E Architecture for Automotive Industry
- Cyber-physical security of distributed systems (IoT)
- Self-assessment methods for predictive systems
- Edge-computing solutions and collaborative intelligence methods for IoT
- Biomedical applications
- The course of study in management engineering or economic disciplines
- Market analysis
- Targeting and positioning of new products/services
- Performance audit process

Here our Thesis proposal:
- Development of a Model-Based Model for the Analysis and Simulation of Operating Conditions in a Battery Electric Vehicle (BEV)
- Analysis, Optimization, and Validation of Model-Based Se

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