The Umeå University invites applications from Ph.D. student positions in Computer Science with a focus on AI for Data Management, Sweden.
The research will be carried out within the research group in “Artificial Intelligence for Data Management”, led by Prof. Diego Calvanese, well-known as one of the leading groups worldwide for its foundational and applied research at the interplay between Semantic Technologies, Knowledge Representation and Reasoning, and Databases.
It 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.
Duration: 4-5 years
Specifically, the project aims at extending VKGs to address novel settings, that may include the following elements:
- additional forms of data/knowledge (e.g., temporal, geospatial, aggregated, numeric);
- heterogeneous data sources of different types beyond relational ones (such as graph-structured data, JSON, XML, CSV, streaming, textual),
- novel kinds of problems, notably provenance, explanation, privacy, machine learning for VKGs, optimization and performance tuning, updates, and evolution of data/knowledge, and
- novel applications of VKGs (e.g., industry 4.0, smart cities, e-health)
Salary (commensurate with prior performance and experience) plus highly competitive incentives.
- The general admission requirements for doctoral studies are a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications.
- Applicants who otherwise have acquired skills that are deemed equivalent are also eligible.
- Candidates must have very good knowledge of databases, data management, and data modeling principles, or in semantic technologies and artificial intelligence (including knowledge representation and reasoning).
- For a more theoretically oriented Ph.D., candidates must have a solid background in the formal foundations of computer science (including mathematics, discrete mathematics, mathematical logic, the theory of computation, possibly complexity theory).
- They also must have good programming skills and ideally experience in open-source and collaborative software project development.
- Fluency in both oral and written English,
- Good ability to co-operate and play in a team, ability to quickly grasp new concepts, and place them in context, and creativity.
A complete application should contain the following documents:
- a curriculum vitae;
- a cover letter including a description of their research interests, their reasons to apply for the position, and their contact information;
- reprints/copies of completed BSc and/or MSc thesis and other relevant publications, if any;
- copies of degree certificates, including documentation of completed academic courses and obtained grades;
- documentation and description of other relevant experiences or competences;
- contact information for two persons willing to act as references.
Application Deadline: October 31, 2020
For more information and application, visit the official site.