PhD in graph data management
PhD in graph data management
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Job description
The position will be with the Databases group of the TU Eindhoven, which is part of the cluster Data and Artificial Intelligence. You will join a vibrant team of 4 permanent researchers/academics and 8 PhD students and postdocs, and work in an exciting EU project with industry leaders and other top research institutes across Europe. You will participate in cutting-edge research, publish your work in leading conferences and journals for data management (SIGMOD, VLDB, TODS, TKDE), contribute in open-source tools, and collaborate with industry leaders to apply these tools in real world. You will travel to present your work, and to participate in meetings with world-class academics and industrial partners.
The position is funded by EU project SciLake, which focuses on designing, developing, evaluating, and showcasing an open, transparent, and customizable scientific data-lake-as-a-service which aims to contribute to the democratization of scholarly content by offering discipline-tailored, AI-assisted functionalities to facilitate researchers in navigating the respective vast knowledge space. The project is a joint effort of 9 research partners and 4 European industry leaders.
Your main activities will be to:
The position is funded by EU project SciLake, which focuses on designing, developing, evaluating, and showcasing an open, transparent, and customizable scientific data-lake-as-a-service which aims to contribute to the democratization of scholarly content by offering discipline-tailored, AI-assisted functionalities to facilitate researchers in navigating the respective vast knowledge space. The project is a joint effort of 9 research partners and 4 European industry leaders.
Your main activities will be to:
- push the state-of-the-art on knowledge graph modelling, creation, and navigation
- develop and adapt schema mapping techniques, data interlinking through graph dependencies, and graph data lake search and navigation
- apply your research results in real-world problems, with real data and users. Discuss with the domain experts to identify problems, limitations, and further challenges
- conduct research in data engineering, publish papers in top conferences and journals, identify research challenges.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
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Eindhoven University of Technology (TU/e)
Requirements
MSc degree in computer science, computer engineering, or similar;
- Excellent knowledge of at least one of Python, C, C++, Java;
- A solid background in science or engineering, with strong mathematical affinity;
- Excellent command of English. If English is not the native language of the candidate, TOEFL or similar with high grade;
- Self-motivated, enthusiastic, proactive, goal-oriented;
- Capability and willingness to work independently, as well as in an interdisciplinary team; - Experience in open-source software will be considered an advantage;
- Publications in top-tier conferences and journals of databases/data management will be considered additional advantages.
Conditions of employment
A PhD degree from a European university ranked among the top-100 in the world. A challenging job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
- Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities (€ 2.541 per month in the first year increasing up to € 3.247 in the fourth year.).
- Travel funding for presenting your work at the leading conferences and for research visits; -support for your personal development and career planning including courses, summer schools, conference visits etc.;
- Possibility to participate in supervision of MSc students;
- An extensive package of fringe benefits (e.g. support in moving expenses and commuting expenses, excellent technical infrastructure, on-campus child care, and excellent sports facilities, extra holiday allowance (8%, May), and end-of-year bonus (8.3%, December));
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- An allowance for commuting, working from home and internet costs.
- A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.
Specifications
- PhD
- Engineering
- max. 38 hours per week
- University graduate
- V32.6403
