Fully-funded PhD Stipend in Federated Analytics and Knowledge Graphs, Denmark

  •  PhD
  •  21-Jun-2024
  •   Denmark
  • $$  Fully-funded three-year PhD stipend

The Technical Faculty of IT and Design, Department of Computer Science is providing a three-year fully-funded PhD stipend within the Computer Science study program.

Eligible candidates must hold a master’s degree in computer science or a closely related field and possess a strong background in knowledge graphs. Additional expertise in data analytics, machine learning, federated learning, and data privacy is highly valued. The scholarship is open to candidates of all nationalities.Aalborg University (AAU) is a well-ranked public university in Denmark that offers a wide range of English-taught bachelor’s and master’s programs across various fields, including natural sciences, social sciences, humanities, engineering, and health sciences. The university has a strong focus on sustainability and interdisciplinary solutions, and it maintains close collaborations with industry partners, ensuring that its graduates find employment within their field of study shortly after graduation.

Aalborg Universitet Information

Aalborg Universitet Grants

Fully-funded PhD Stipend in Federated Analytics and Knowledge Graphs, Denmark Established in 1974, Aalborg Universitet (Aalborg University) is a non-profit public higher education institution located in the suburban setting of the large town of Aalborg (population range of 50,000-249,999 inhabitants), North Denmark Region. This institution has also branch campuses in the following location(s): Esbjerg, Copenhagen. Officially accredited and/or recognized by the Uddannelses- og Forskningsministeriet (Ministry of Higher Education and Science, Denmark), Aalborg Universitet (AAU) is a large (uniRank enrollment range: 10,000-14,999 students) coeducational higher education institution. Aalborg Universitet (AAU) offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 45 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: Open to applicants from all countries.
  • Acceptable Course or Subjects: The scholarship will be awarded in the Computer Science study program.
  • Admissible Criteria:
    • Applicants must have a Master’s degree in computer science or a closely related field.
    • Strong background in knowledge graphs.
    • Additional knowledge and experiences in data analytics, machine learning, federated learning, and data privacy are highly appreciated.
    • Outstanding spoken and written communication skills in English.

Offered Benefits

  • Fully-funded PhD stipend for three years.
  • Enrollment as a PhD student at the Technical Doctoral School of IT and Design, Aalborg University.
  • Salary according to the Ministry of Finance Circular and the employment structure at Danish universities.

Application Process

  • Application Must Contain:
    • A cover letter of max. 2 pages, including (i) motivation for applying, (ii) preferred starting date, and (iii) a brief explanation of the applicant’s background.
    • CV.
    • Diploma and transcripts of records.
    • Other relevant information, including contacts of max. 3 referees, and/or programming portfolio (e.g., GitHub account).
  • Application Procedure:
    • Applications are to be submitted online using the “ Apply online” button.
    • Shortlisting will be applied, and all applicants will be informed whether they will be assessed or not.
    • Interested applicants are encouraged to contact Professor Daniele Dell’Aglio ( ) regarding the scientific aspects of the position.
    • For further information about stipends and salary as well as practical issues concerning the application procedure, contact Ms. Annemarie Davidsen at the Doctoral School (email: ).
Apply Here
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