Lund University, Faculty of Science, Department of Physical Geograhy and Ecosystem Science

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

Introduction text:
Lund University has been always ranked among the top 100 universities in the world. Lund University GIS Centre at the Department of Physical Geography and Ecosystem Science is one of the World’s leading centres in the field of Geographical Information 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 research agencies, and international organizations such as WHO. The GIS Centre is going to expand its research activities in the area of climate change modelling using spatiotemporal analysis and machine learning. It includes combining machine learning with existing Dynamic Vegetation Models, mainly LPJ-GUESS to improve estimates of terrestrial carbon fluxes. 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 produce more/better results.

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

  • conduct research and publish in high-quality
  • 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 PhD and master

develop useful timelines and milestones based on the goals of the research and development programs.

Desirable skills and qualifications:

    • PhD in Geomatics, Geographic Information Science, computer science, information technology or a closely related
    • demonstrated experience with GIS, spatiotemporal analysis and/or machine learning techniques
    • having knowledge or experience in climate change- or ecosystem-related studies is an advantage
    • track record of publications in the field
    • ability to work collaboratively with colleagues and stakeholders, including those within a multi-disciplinary grouexcellent command of Englis proficiency in programming languages and technologies such as Python, R andjs.contribute to the development of proposals to apply for research projects.

The applicant must submit the below documents:
- Cover letter
- CV including:

* personal information (full name, date and place of birth and 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 master 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 (if any)
* supervision of master students (if any)
* 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.

This is a time limited employment for 1 year.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 2019-12-01 or according to the agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Lund
County Skåne län
Country Sweden
Reference number PA2019/3560
  • Ali Mansourian, Associate Professor, +46-222 17 33,
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 01.Nov.2019
Last application date 20.Nov.2019 11:59 PM CET

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