Lunds universitet, institutionen för naturgeografi och ekosystemvetenskap

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Lund University GIS Centre at the Department of Physical Geography and Ecosystem Science is one of the World’s leading centres in thefield of Geographical Infromation Science. Besides strong scientific networks in Sweden, the centre has large international networks in Europe, USA, Australia, Africa, Middle East, and Central Asia. GIS Centre has been involved in several national and international projects funded or supported by e.g EU, Swedish resaerch agencies, and international organizations such as WHO. The GIS Center is going to expand its resaerch activities in the area of processing and analysis of VGI as well as social media data. The aim of this call is to employ a researcher with a very high scientific competence to join our research group and increase the quality of research by producing more/better results.

The main duties and responsibilities include, but not limited to:

  • Conduct research and publish in high-quality journals.
  • Present and discuss novel ideas to the research group.
  • Present research results to the wider research community.
  • Contribute to training, scientific mentoring and supervision of students.
  • Develop useful timelines and milestones based on the goals of the research and development programs.
  • Contribute to the development of proposals to apply for research projects.


  • PhD in Geomatics, Geographic Information Science, computer science, or a closely related discipline.
  • Demonstrated experience with VGI and social media data analysis and processing.
  • Demonstrated experience with GIS, spatio-temporal analysis and machine learning techniques.
  • Track record of publications in the field.
  • Ability to work collaboratively with colleagues and stakeholders, including those within a multi-disciplinary group.
  • Excellent command of English.
  • Proficiency in programming languages and technologies such as Python, R, JavaScript, and Node.js.

We are looking for a person who is driven, can structure and organize his or her own work, a person who is patient, flexible, and who is social and communicative. He or she should have the intention to work in group, share and discuss his/her ideas, knowledge and achievements with the group and to be helpful to the group members.

The applicant must submit the below documents:

  • Cover letter
  • CV including
    • Personal information (full name,date and place of birth, marriage status, country of residence)
    • The title of the PhD thesis, the supervisor(s), the defence date, the university that you got the degree from, and the country.
    • Title of the matser thesis, , the supervisor(s), the defence date, the university that you got the degree from, and the country.
    • Positions (current and previous work/study/research positions)
    • List of publications in international scientific journals (mention impact factor, according to the ISI Web of Knowledge), international conferences, etc.
    • Research project(s) that you have been involved in (mention your role and the period you were working on the project)
    • Supervision of PhD students
    • Supervision of master students
    • Teaching experiences
    • Research plan. Describe your research idea in max 3 pages. Include the idea by itself, techniques you want to use, if the idea is new (justify), why it is interesting, and data issues.
Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 2019-04-01, duration 2 year from starting date
Salary Fixed monthly salary
Number of positions 1
Working hours 100
City Lund
County Skåne län
Country Sweden
Reference number PA2018/3296
  • Ali Mansourian, Associate Professor, +46 46-2221733,
  • Tina Olsson, Human Resource Officer, +46 46-2229562,
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
  • SEKO: Seko Civil, 046-222 93 66
Published 22.Oct.2018
Last application date 31.Jan.2019 11:59 PM CET

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