ROBOTICS

Development of a sensory payload that can be integrated into a prototype of an unmanned aerial vehicle to be developed; Develop sensor integration and development of multimodal sensor information fusion software to develop a perception system for detecting obstacles and possible collisions and modeling and mapping on the sea surface; Development of an inspection system for Unmanned Aerial Vehicles, Development of an inventory management system in an industrial environment using Unmanned Aerial Vehicles - Implement the implementation of algorithms in the ROS framework; - Exercise a critical spirit in evaluating the process and results obtained.
Academic Qualifications Master's degree in Electrical Engineering or related field.
Minimum profile required Master's degree in Electrical Engineering and over 3 years of proven experience in the development of robotic platforms in terms of hardware and software.
Participation in scientific projects and writing scientific documents.
Preference factors - Over 3 years of experience in developing robotic platforms, their conceptualization and design; - Previous experience in software development using the ROS and ROS2 frameworks; - Advanced knowledge of C, C++ and Python programming languages, with an emphasis on applications for robotic systems; - Experience in 3D modeling using Solidworks; - Previous experience in using simulation tools, such as Stonefish and Gazebo, for testing and validating robots in virtual environments; - Practical experience in design and production of PCBs, with knowledge of tools such as KiCad; - Ability to integrate sensors, actuators and other devices into embedded systems, with experience in communication protocols such as I2C, SPI, UART, CAN and RS-232/RS-485; - Experience in development with FreeRTOS for embedded systems; - Experience using version control tools, such as Git, for collaborative software development; - Familiarity with the ARM Cortex-M architecture; Application Period Since 03 Jan to 16 Jan Centre Robotics and Autonomous Systems Scientific Advisor José Miguel Almeida