Umea University, Sweden invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Umea University, Sweden .
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: 1 PhD student position in Computing Science with focus on AI for Data Management
The project, led by Professor Diego Calvanese, concerns foundational and/or applied research in the context of flexible and efficient management of large amounts of richly structured data, by relying on the paradigm of Virtual Knowledge Graphs (VKGs, also known as Ontology-based Data Access). Specifically, the project aims at extending VKGs to address novel settings,
Deadline : 2022-06-30
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computational Science and Engineering with a focus on machine learning
Machine learning is a key technique in many different areas, and machine learning accounts for many of the recent successes in artificial intelligence. One way to handle the problem with small amounts of data in high-dimensional machine learning is to use prior information—usually by prior distributions or penalties. Structured priors and penalties mean that we encode domain-specific, expert, or prior knowledge about a problem into the machine learning model. By encoding a particular structure, the model can select relevant groups of variables, reduce the risk of overfitting the training data, and improve our ability to interpret the model and understand the data.
Deadline : 2022-05-30
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(03) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Student position in Chemistry with focus on Planetary Geochemistry and Spectroscopy
The doctoral studies are aimed at a doctoral degree where the main task is reseach within a project to resolve the formation and stability of liquid water in martian analogue soil and salt mixtures. The project is funded by the Swedish Research Council. You will explore the interfacial chemistry of water/ice formed in these mixtures using vibrational spectroscopy under low and high temperature settings. Furthermore, you will bridge these analyses with remote sensing data from Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) of NASA to understand the aqueous history of Mars and revealing potential water resources for future human explorations. In addition to the research assignment, participation in postgraduate courses is also included.
Deadline : 2022-05-24
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computing Science with focus on data privacy
The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and 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 these systems, and is an integrated research theme of the program.
Deadline : 2022-05-24
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(05) PhD Degree – Fully Funded
PhD position summary/title: PhDstudent in Media & Communication Studies with a focus on Northern Sweden
As a PhD-student you will be part in an interdisciplinary research environment, connected both to your subject area, as well as in the Artic graduate school on sustainable development at Umeå University. All engaged PhD-students are expected to participate in the joint activities of the graduate school and are offered program-specific courses complementing the subject-specific syllabus. For mor information about the graduate school at Arcum, read more here: https://www.umu.se/en/arctic-centre/education/gradschool/
Deadline : 2022-05-22
(06) PhD Degree – Fully Funded
PhD position summary/title: WASP AI Program: PhD position in Mathematical Statistics or Computational Science
The interplay between optimization and machine learning is the cornerstone of many important advances in inference systems and artificial intelligence in the last decade. The vast majority of machine learning applications are modeled and solved as an optimization problem. To accommodate the increasing complexity of problem models along with massive amounts of data, machine learning entails the development of new optimization methods. In contrast to the traditional black-box optimization framework, an end-to-end view of modeling and optimization is central to these novel algorithms.
Deadline : 2022-05-15
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(07) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computing Science with focus on federated learning
Federated learning (FL) poses multiple challenges when applied to distributed, real-time robotic manipulation in the cloud. Multi-centric data heterogeneity observed during sensing, actuation, control and manipulation is a prime concern because data in classical FL settings is typically assumed to be independent and identically distributed (iid). In contrast, data from distributed robotic nodes operating under variations in environment, kinematics and sensing modality is not necessarily iid and raises questions concerning global model convergence for performance guarantees. This project aims to address the following challenges: (i) Developing high-quality local and global representation learning models cause multiple issues, including inconsistency of representation spaces, misalignment of representations, and incomplete representations. (ii) Achieving faster model adaptation through continual or lifelong learning, (iii) Preventing inter-nodes interference and inter-nodes knowledge transfer for irrelevant knowledge assimilation across models, (iii) Selective relearning of policies for unseen environments in cloud robotics systems.
Deadline : 2022-05-02
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD positions in Economics
As a PhD student in the department of economics, you are expected to take courses specified by your study plan, to work independently on your PhD project as well as collaborate within the research group, and to participate in seminars and other department activities.
Deadline : 2022-05-02
(09) PhD Degree – Fully Funded
PhD position summary/title: PhD-student in human geography
The current doctoral project will be carried out within the framework of an ongoing research program funded by Forte on how cognitive and spatial relationships between emerging and declining jobs create opportunities and constraints for workers and firms in general, and in the context of the Swedish Arctic (Norrbotten and Västerbotten) in particular. The candidate will combine large datasets, covering Swedish job ads recently made available by the Swedish Public Employment Service (Arbetsförmedlingen) on the one hand, and Statistics Sweden’s longitudinal register data on individuals and firms on the other. As a PhD-student you will be part of an existing research group with both senior and junior researchers who jointly work on this topic with research groups at Göteborg University and Lund University. The PhD student is expected to have documented skills in quantitative analyses and to work with large public data as well as longitudinal micro-data within the scope of this program.
Deadline : 2022-05-02
About Umea University, Sweden –Official Website
Umea University is a university in Umeå in the mid-northern region of Sweden. The university was founded in 1965 and is the fifth oldest within Sweden’s present borders.
As of 2015, Umea University has nearly 31,000 registered students (approximately 16,000 full-time students), including those at the postgraduate and doctoral level. It has more than 4,000 employees, half of which are teachers/researchers, including 368 professors.
Internationally, the university is known for research relating to the genome of the poplar tree and the Norway Spruce, and its highly ranked Institute of (industrial) Design.
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