PhD in Big data management

PhD in Big data management

Published Deadline Location
2 Jun yesterday Eindhoven

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4-years PhD student position in big data management (correlations, causality detection, data synopses for knowledge lake management systems).

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 STELAR, which focuses on designing, developing, evaluating, and showcasing an innovative Knowledge Lake Management System (KLMS) to support and facilitate a holistic approach for FAIR (Findable, Accessible, Interoperable, Reusable) and AI-ready (high-quality, reliably labeled) data. The project is a joint effort of 4 research partners and 5 European industry leaders. Your main activities will be to: 
  • push the state-of-the-art on detection of correlations and causalities
  • develop and adapt synopses for data summarization
  • 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

Eindhoven University of Technology (TU/e)

Requirements

  • MSc degree in computer science, computer engineering, or similar;
  • Excellent knowledge of at least one of Java, C, C++, Scala;
  • 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

We offer
  • A PhD degree from a European university ranked among the top-100 in the world;
  • A fulltime temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months;
  • A challenging job in a dynamic and ambitious university and a stimulating research environment;
  • A gross salary of €2.443 per month in the first year increasing up to €3.122 in the fourth year.
  • Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
  • Travel funding for presenting your work at the leading conferences and for research visits;
  • Possibility to participate in supervision of MSc students;
  • To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
  • To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
  • Support for your personal development and career planning including courses, summer schools, conference visits etc.;
  • Should you come from abroad and comply with certain conditions, you can make use of the so-called '30% facility', which permits you not to pay tax on 30% of your salary.
  • An extensive package of fringe benefits (e.g. support in moving expenses and commuting expenses, excellent technical infrastructure, moving expenses, savings schemes, on-campus child care, and excellent sports facilities;
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Specifications

  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V32.5695

Employer

Eindhoven University of Technology (TU/e)

Learn more about this employer

Location

De Rondom 70, 5612 AP, Eindhoven

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