Wallenberg Autonomous Systems and Software Program(WASP) is Sweden's largest individual research program ever. WASP's mission is to build a world leading platform for academic research that interacts with leading companies in Sweden to develop knowledge and competence for the future. Its key values are "research excellence in autonomous systems and software for the benefit of Swedish industry".
The program addresses research on autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. Software is the main enabler in autonomous systems, and is an integrated research theme of the program. WASP's key values are research excellence and industrial relevance.
The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of autonomous systems and software. The curriculum provides the foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.
WASP looking for Ph.D. student
We are currently looking for a Ph.D. student in networked systems to join WASP.
"In a number of time-critical societal applications, besides providing high reliability and throughput a very important property the cloud infrastructure has to provide is guaranteed low latency for delivering data. This feature is sorely lacking today, with the so-called tail-latency of slowest responses in popular cloud services being several orders of magnitude longer than the median response times. Unfortunately, simply using a network infrastructure with ample bandwidth does not guarantee low latency because of problems with congestion at the intra-and inter-data center level, sub-optimal routing, server overload, etc. The goal of this PhD position is to develop the necessary technology for time-critical cloud services. Examples include advanced software-defined control of the network, highly streamlined network functions virtualization, and geo-distributed data storage systems. The student will work as a part of the team developing autonomic solutions for time-critical data transmission, which will be evaluated on the test case in intelligent transport systems."
WASP's PhD student Håkan Carlsson was one of the winners at Venture Cups in 2016. Carlsson's idea revolves around drones and how one can use them to inspect forest holdings and determine their value. The innovation is called Tree mapping and could mean substantial savings for the timber trade industry.