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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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, for example a 4-year bachelor's degree is accepted. The position requires strong verbal and written communication skills in English. About WASP Wallenberg AI, Autonomous Systems and Software Program (WASP) is
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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, regardless of gender, age, disability, religion, national origin, or ethnicity. WASP and the graduate school These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP As
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://www.umu.se/en/department-of-computing-science/ Project description In modern software systems and the organizations that run them, a substantial part of day-to-day decisions with critical impact on individual
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Robotics and AI - Luleå University of Technology (ltu.se) Wallenberg AI, Autonomous Systems and Software Program
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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team of researchers on a European project. As a main topic, you will perform your research in one of these areas: -Service oriented software in the cloud-to-edge compute continuum targeting robust