Master's thesis; 5G testbed implementation and data generation

We have an open position for a master student to join us at the Connected Intelligence research unit, within the Computer Science department at RISE.BackgroundIn 5G telecom networks, models are often trained in one environment (one cell, one environment, one traffic mix) and then deployed in another with different infrastructure, deployment environment,...

Location: Kista, StockholmPreferred starting date: Jan. 2026Extent: 1-2 student, 30hp.About The CompanyFounded in 1987, Huawei Technologies is one of the fastest growing telecommunications and network solutions providers in the world. At Huawei Technologies, we look for people who share our vision: to enrich life with communication. We are a leading supplier...

BackgroundThe next generation of smart buildings requires systems that are not just automated, but intelligent and responsive to human behaviour. Automatic doors are a key component of modern infrastructure, yet they often lack the intelligence to differentiate between intent and incidental movement, leading to unnecessary openings that waste energy and can...

BackgroundThe widespread adoption of autonomous vehicles (AVs) and advanced driver assistance systems has dramatically increased the volume of sensor data generated at the network edge. Leveraging this data for intelligent driving services requires machine learning models that are both accurate and privacy conscious. Federated Learning (FL) has emerged as a...

BackgroundAutonomous vehicles rely on AI models and vast amounts of multi-modal sensor data—including vehicle control signals, GPS, lidar, radar, and camera inputs—to perceive and navigate their environment. When vehicles are updated and new models are developed, sensors and hardware often change, which in turn also affects the AI models used. One...

BackgroundAutonomous vehicles rely on AI models and vast amounts of multi-modal sensor data—including vehicle control signals, GPS, lidar, radar, and camera inputs—to perceive and navigate their environment. When vehicles are updated and new models are developed, sensors and hardware often change, which in turn also affects the AI models used. One...

We have an open position for a dedicated master student to join us at the Connected Intelligence research unit, within the Computer Science department at RISE.Background and purposeMachine learning (ML) has catalyzed the design and development of various intelligent systems over wide application domains. Many efforts have been made to deploy ML models on...

BackgroundAutonomous vehicles rely on vast amounts of multi-modal sensor data—including vehicle control signals, GPS, lidar, radar, and camera inputs—to perceive and navigate their environment. Sending all this data to central storage is often impractical due to high bandwidth and storage costs, and annotating it manually is nearly impossible because of...

BackgroundLarge audio-language models (LALMs) are moving from demos to production for assistants, meetings, and accessibility. Yet they remain vulnerable to adversarial audio that corrupts transcription, reasoning, and safety layers. Recent benchmarks show that seemingly benign edits, including content tweaks, emotional style shifts, and common acoustic...

BackgroundAs monolithic AI models reach their limits in complex, dynamic environments, the future of robotic intelligence lies in creating teams of specialised agents that can collaborate to solve problems. This approach mirrors how human teams work, allowing for more robust, safe, and nuanced behaviours. This thesis project will explore this frontier by...