Optimising Real-Time Multimodal Data Collection for Assistive Technology (A

at  KU Leuven

OPTIMISING REAL-TIME MULTIMODAL DATA COLLECTION FOR ASSISTIVE TECHNOLOGY (AERIALIST DC5)

(ref. BAP-2024-702)
Laatst aangepast: 29/10/24
At the M-Group at KU Leuven Bruges Campus, we are driving innovation in interconnected, intelligent mechatronic systems. The research group focusses on making systems reliable by developing new technologies in hardware, software, sensors, mechanical structures, energy systems and artificial intelligence. Modern systems need a holistic view on those 4 components, where we integrate expertise of computer science, electrotechnical engineering and mechanical engineering. M-Group is a multi-departemental research group where computer science, electrical and mechanical engineering expertise is combined. The research group consists of 8 professors and more than 40 researchers (postdocs, phd students or assistants) and is supported by a project coordinator, a research manager and 2 technical staff members. We are based at the KU Leuven Campus of Bruges in the province of West Flanders in Belgium (1 hour train ride from Brussels, 3 hour train ride from Paris). The group has access to state-of-the-art labs with recent machines and robotics and has many collaborations with other labs spread over Belgium.
Website van de eenheid

PROFILE

• We are seeking a highly motivated, enthusiastic, passionate, and communicative researcher who holds a Master of Science degree in electrical engineering, computer science or Mechanical Engineering, with outstanding academic achievements (top 5%).
• You should show a high affinity with embedded systems, sensor networks, Body area networks en signal processing.
• Knowledge of the biomedical application domain is an asset
• You are skilled in development in hardware platforms and embedded software, or are willing to learn
• You have knowledge about current state-of-the-art low power platforms for edge computing (Jetson Nano, STM32, TI MSP430,…)
• You have good communication skills and are able to build a network
• You have a critical mindset and are able to formulate your own research questions

Please refer the Job description for details