Umeå universitet, institutionen för datavetenskap

The Department of Computing Science, Umeå University  ( is seeking outstanding candidates for one postdoctoral researcher position within the field of data mining/database systems, especially on heterogeneous data integration and management. We are looking for a skillful researcher, who is able to contribute to our research environment through independent and innovative research, cooperate with other researchers, and assist in the supervision of PhD students. The successful candidate will join a recently funded project at Umeå University on academic federated knowledge base construction and privacy preservation in federated databases.

Application submission deadline is October 31, 2016.

Project description
This project is focusing on creating an infrastructure for academic federated knowledge bases by integrating major research data sources at the university, like e.g. the demographic data, health databases, and a number of national data sources as well as public web data sources. This initiative is in line with the investigation that the Swedish government recently initiated, where Umeå University is mentioned as a core partner in the anticipated technology development in this area.

The federated knowledge base would be a virtual integration of individual data sources which may be large, distributed, heterogeneous, and autonomous. The processed individual data sources often contain sensitive personal information and data. This implies that the result of cross-database analyses should not be, or may not be stored without being de-personalized. During the construction and integrating process, it is of interest to explore academic and practical research topics, such as query optimization, entity resolution and privacy preservation. Technology used will include data mining, database technology, natural language processing, machine learning, and privacy preservation.

The appointment is for two years full time contract. It is expected to start from January 1, 2017, or as otherwise agreed.

The applicant must have a PhD degree or a foreign degree that is deemed equivalent to a PhD in computer science or another subject relevant for the project. In particular, the applicant must have a background in the area of data mining or database systems, especially on heterogeneous data integration and management. The PhD degree shall not be more than three years old by the end of the application period unless there are special reasons. Good research merits and excellent publications in the area of the position are strongly meriting. Excellent communication skills in both written and spoken English are required.

In the selection of candidates, attention is paid to both academic and practical skills. Particular emphasis will be put on the degree of academic experiences and practical skills in the following areas:

  • Research and practical experience of data analysis, and database systems is essential, especially on distributed, autonomous, heterogeneous data integration, federated database deployment and management. Experience of privacy preservation on federated databases, data mining, and other relevant topics would be a plus.
  • Programming proficiency in at least one objective language and one script language (e.g., Python, Java, C++)
  • Publication records on data mining, machine learning, database system and management, or relevant disciplines
  • Experience of Web service deployment and development under Windows/Linux
  • Ability and experience of applying open source software (Apache tomcat, Mysql, Lucene, Spark etc.)
  • Internal and international collaboration experience in academia/industry on data mining technology

A complete application should include:

  • Cover letter including a brief (approximately 2 pages) description of your research interests in relation to the research area mentioned above and how your expertise would contribute.
  • Curriculum Vitae (CV), including a complete list of scientific publications.
  • Copies of at most five relevant scientific publications, numbered according to the publication list
  • A copy of your Ph D Thesis
  • Copies of relevant degree certificates and other documentation you wish to include in support of your application.
  • Names and contact details, including e-mail addresses, of at least three reference persons.
  • Other information relevant for the position, such as documentation and description of experiences from software development and work in or with industry

Please observe that all material needs to be in Swedish or English (translations of documents in other languages).

More information
For enquiries and more information, please contact Assistant Professor Lili Jiang (email:

Welcome with your application!
Applications must be submitted electronically using the e-recruitment system MyNetwork Pro, and be received no later than October 31, 2016. Reference number: AN 2.2.1–1137–16..

More about us
The Department of Computing Science is a dynamic environment with around ninety employees representing more than ten countries worldwide. We conduct education and research on a broad range of topics in Computing Science.

Umeå University wants to offer an environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We offer a wide variety of courses and programmes, world leading research, and excellent innovation and collaboration opportunities. More than 4 300 employees and 31 500 students have already chosen Umeå University. In each recruitment we aim to increase diversity and the opportunity to affirmative action. In particular, we encourage female applicants!

We kindly decline offers of recruitment and advertising help.

We look forward towards receiving your application!

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 2017-01-01 or as otherwise agreed
Salary Monthly salary
Number of positions 1
Working hours 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-1137-16
  • Lili Jiang, ,
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 14.Sep.2016
Last application date 31.Oct.2016 11:59 PM CET

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