Department: GTD Science, Infrastructures & Robotics
Location: Barcelona (Spain)
Sector: Engineering and automotive
Vacancies: 1
Discipline: Engineering
Work modality: HybridWe are a high-tech company, committed to the design, integration, and operation of complex, mission-critical applications and systems throughout the world.
We perform turnkey projects, engineering services and product development for our customers, developing state-of-the-art systems in the Space, Aerospace, Energy, Scientific Facilities and Defense and Security sectors. With a end-to-end approach, we seamlessly navigate the entire service cycle, from meticulous validation and ongoing maintenance to effective obsolescence management.
Here you will find more information about GTD Group: https://vimeo.com/149636682
GTD Science, Infrastructures, and Robotics (GTD SI&R) is the leading provider of high-quality, high-reliability software solutions, robotics’ control systems, custom electronics, and edge computing. With its unique system and software engineering capabilities, GTD SI&R is the most reliable supplier of control, supervision, analysis, and decision support systems for real-time, large, and critical applications. The company's solutions (Control Systems, Bespoke Electronics, Embedded Systems, Control Centers) are integrated into the most significant "Big Science" international projects (including ITER and CERN) and into several of the largest Green Power Generation companies in the world.
Here you will find more information about us: https://vimeo.com/418046136
The role:
We are looking for an undergraduate or master’s student with a strong interest in Artificial Intelligence and process optimization.
The selected candidate will join a multidisciplinary engineering team and contribute to the research, prototype, and validation of AI-based solutions that accelerate and improve engineering workflows such as documentation handling, requirements support, reporting, and engineering tool automation.
Position activities:
Final-year undergraduate student or master’s student in Computer Science, Artificial Intelligence, Robotics, Telecommunications, Industrial Engineering, or a related field.
Must have
Nice to have
What do we offer?
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, etc.