Control System Engineer
2 mesi fa
Descrizione azienda 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 environment; 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.
Posizione We need you and your talent to grow our Team, here you can find our needs, the main Responsibilities and Requirements related to the vacancy
Vacancy: Control System Engineer - Innovation The resource will be involved in advanced control development team - innovation, for design and validation of novel technologies about smart home appliances. His/her duties will be:
Study and review the state of art as starting point of research programs; Design and identify mathematical models with lumped parameters of physical processes; Design and calibrate control and optimization algorithms using standard or advanced strategies (control theory and/or machine learning); Work place: Turin
Requisiti Competences Competences needed (Education / Experience / Skills / Competencies / Languages)
Technical Requirements: Master's degree (PhD preferred) in Control/Robotics/Automation/Computer/Electronics Engineering; Strong knowledge of Control Theory; Solid background in machine learning algorithms; General knowledge of data analysis; Knowledge of computing architecture (embedded and cloud computing); Advanced knowledge of Matlab/Simulink; Good knowledge of python; Basic knowledge of sensor/actuators physics; Generic programming skills (C/C++) Non-technical requirements: Passion for algorithm and control design; High curiosity; Team player; Willing to innovate; Lateral thinking.
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