Next Generation Robotics Graduate Program

Designed for final-year Master’s and PhD students, as well as recent graduates, who want to launch their careers in Robotics and Artificial Intelligence. You will support the design, development and deployment of intelligent robotic solutions at the intersection of AI and Digital Engineering.

• Contribute to the development of innovative robotics and AI-driven solutions
• Support the creation of simulation environments and digital representations of real-world systems
• Help design and improve robotic perception, autonomy and decision-making capabilities
• Collaborate with multidisciplinary teams across Robotics, AI and Engineering
• Participate in testing, validation and deployment activities
• Explore emerging technologies and contribute to innovation initiatives
• Work on real-world challenges that drive automation and operational excellence
• Continuously develop your technical and professional skills through hands-on project experience

• Currently completing, or recently completed, a Master’s or PhD degree in Robotics Engineering, Computer Science / Computer Engineering, Electrical and Computer Engineering, Mechanical Engineering, Artificial Intelligence, Applied Mathematics or a related Engineering or Technology discipline
• Knowledge of Computer Vision, Deep Learning and Machine Learning techniques
• Exposure to deep learning frameworks such as PyTorch
• Programming experience with Python and/or C++
• Familiarity with Git, Docker and software engineering best practices
• Strong analytical and problem-solving skills
• Ability to work effectively in collaborative and multidisciplinary teams
• Eagerness to learn and develop in a fast-paced, innovative environment
• Fluency in English

• Knowledge of robotics development frameworks such as ROS2
• Academic experience with simulation platforms such as Isaac Sim, Gazebo or MuJoCo
• Understanding of motion planning, robotic control and sensor fusion
• Knowledge of Digital Twins, 3D modelling or synthetic data generation
• Exposure to Reinforcement Learning concepts and applications
• Familiarity with emerging Robotics AI models and platforms such as OpenVLA, NVIDIA GR00T or π0
• Research experience gained through a Master’s thesis, PhD research, scientific publications or participation in research projects
• Hands-on experience gained through academic projects, internships, research activities, hackathons, robotics competitions or personal initiatives
• Interest in bridging cutting-edge research and industrial applications of Robotics and AI
• Interest in autonomous systems, intelligent robotics and industrial automation
• Familiarity with collaborative and agile ways of working

• A structured Graduate Program designed to support your transition from academia to industry
• Hands-on experience with cutting-edge Robotics and AI technologies and real-world projects
• Opportunities to apply advanced research concepts to real-world industrial challenges
• Mentoring and coaching from experienced professionals in Robotics, Artificial Intelligence and Digital Engineering
• Continuous learning through training and professional development opportunities
• Collaboration with multidisciplinary and international teams
• Exposure to emerging technologies shaping the future of industry and automation
• A supportive environment that encourages innovation, creativity and growth
• Opportunities for long-term career growth and development
• A competitive compensation

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.