Three postdoc positions in Computer Science with focus on Internet of Things have been announced. The positions mainly concern software architecture, information security and privacy, and machine learning.
Last date for applications is 24 June 2018.
» Software Architecture for the Internet of Things (REK 2.2.1-2018/124)
» Information Security and Privacy for the Internet of Things (REK 2.2.1-2018/125)
» Machine Learning for the Internet of Things (REK 2.2.1-2018/126)
The positions are part of the Internet of Things and People (IOTAP) research profile, a seven-year project which is a collaboration between the IOTAP research center at Malmö […] Continue reading
The industrial graduate school Data-Driven Systems is awarded about SEK 11 million by the Knowledge Foundation. The aim is to increase the research competence in the companies that are involved, but also to strengthen cooperation between academia and industry.
“Rather than doing traditional contract research, this is about co-production in that academia and industry together create new knowledge,” says Paul Davidsson, professor of computer science and director of the Internet of Things and People research center at Malmö University.
Work and studies in parallel
The graduate school has an overall budget of about SEK 30 million, it runs for three […] Continue reading
The healthcare of the future is heavily dependent on digital and connected technologies. How will this impact care providers, practitioners, and patients? We invite you – as policymaker, healthcare practitioner, patient, researcher or technology developer – who have ideas or experience in how technology can support and advance healthcare. Together, we will do a health check up on the current state and the futures of smart health, identifying new and interesting research opportunities.
December 1 at 9–12 Continue reading
One postdoc position in Computer Science with focus on Internet of Things has been announced. The position concerns mainly research in the area of embedded intelligence, including distributed artificial intelligence and machine learning. Last date for applications is 6 June 2017. Continue reading
IoT devices create and deliver massive amounts of data that humans are ill-equipped to deal with. What is needed is highly contextualized and personalized information. DocFactory IoT is a platform that makes the data from IoT devices actionable. Continue reading
This is an invitation to participate in a seminar on smart cities. The seminar will focus on how Internet of Things-based technologies can play a role in sustainable urban development. The seminar starts with presentations by representatives from Digital Malmö and from the regional industry. The presentations are followed by discussions. Continue reading
The Citizen Science application from Sony Mobile enables the users to contribute to research projects, allowing them to act as remote sensors for all types of data as they go through their daily life. Together with researchers, users can share their data by participating in projects together with scientists and industry that can improve society. Continue reading
Making public transport more attractive is an important step to reduce carbon emissions caused by travel. The smartphone game Bus Runner, which is based on beacon technology and open data, is an attempt to make riding the bus more attractive by turning it into a game. Continue reading
Smart home products and services are often developed using proprietary and closed platforms. This of course offers stable and secure environments, but can at the same time be a roadblock for rapid prototyping and collaborative creativity. One way of going around the issue is to develop on top of existing platforms and providing a secondary mechanism (based on open standards) for defining and executing services in the smart home. Continue reading
Collaborative learning activities are an essential part of education and are part of many teaching approaches including problem-based learning and project-based learning. However, in open-ended collaborative small group work, evidence on the effectiveness of using these learning activities are hard to find. The PELARS project explores how multimodal learning analytics can generate information about what happens when students are engaged in collaborative, project-based learning activities. Continue reading