Master Thesis: Spacecraft fleet trend analysis

OHB Sweden is a leading provider of space systems, developing, building, testing, and operating satellites and in-orbit propulsion systems for missions in communication, Earth observation, and space research. Serving both institutional and commercial customers across Europe and beyond, OHB Sweden offers an exciting workplace where you can contribute to...

OHB Sweden is a leading Swedish provider of space systems. We develop, build, test, and operate satellites and subsystems for space missions in areas such as communication, Earth observation, and space research, serving both institutional and commercial customers in Europe and beyond. OHB Sweden offers an exciting workplace where you will contribute to the...

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.BackgroundPrivate 5G networks are becoming essential for industries that need reliable, low-latency, and secure connectivity. Machine learning models are increasingly used in these networks to predict KPIs and...

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...

This project is suitable for one MSc thesis student.The work will target perception and decision making in Camera Monitor Systems (CMS) or digital rear-view mirrors involving behavioural and perceptual, as well as physical measurements. For the CMS an important question is how depth perception, distance judgement and obstacle avoidance are affected by...

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...

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...

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...

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 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,...