You are a student and the Chair of Pervasive Computing Systems and the TECO research group have piqued your interest? We are looking for motivated people who want to contribute their own ideas.
Find current student assistant, doctoral, and postdoctoral openings at TECO.
ALERT (Allergy Event Recognition and Tracking) investigates how subtle allergy-related reactions can be detected automatically using ear-worn sensors and contextualised with personal environmental exposure data. The project combines wearable sensing, mobile data collection, and machine learning to support objective, everyday allergy tracking.
TECO at KIT is looking for volunteers and student assistants to support infrastructure in practical computer science. Tasks include maintaining web servers, mail servers, DNS, VLAN infrastructure, AI computing clusters (NVIDIA GPUs), and services used by research partners like edgeML.org. Role may involve hardware, software, and design work.
We are looking for a HiWi (Research Assistant) that will help us design and manufacture housings and parts for all our wearables, mostly for OpenEarable
We are looking for a HiWi (Research Assistant) that will help us design PCBs and write firmware for microcontrollers
We are looking for a Research Assistant (HiWi) for the OpenEarable project at TECO, KIT, an open-source AI platform for in-ear sensing. Your responsibilities will include developing and optimizing embedded C++ firmware (sensor interfacing, real-time data processing) and contributing to the companion Flutter app. You should have strong C++ skills for embedded systems; experience with ZephyrOS, BLE, or Flutter is a plus. We offer flexible working hours (40h/month) in an innovative research environment.
TECO at KIT offers a full-time PhD or PostDoc position focusing on AI in healthcare. Includes automated data conversion, AI-assisted data curation, data interpretability, and AI-assisted diagnostics. Evaluation in collaboration with hospitals and physicians. Part of the Health Tech Center at KIT.
We are offering a PhD position focused on developing toolchains to accelerate research and development in Wearable Computing and machine learning. Candidates should have a Master's degree in computer science or a related field with a strong background in ML frameworks (e.g., PyTorch, TensorFlow) and excellent programming skills. To apply, please send your CV, transcript of records, and a letter of motivation to the specified email address.