PhD position in historic land cover/use change modelling

November 23, 2017

Overview

The research g roup on Land Use Change & Climate at Karlsruhe Institute of Technology’s Campus Alpin (IMK – IFU) located in Garmisch – Partenkirchen (http://www.imk-ifu.kit.edu/institute.php), in collaboration with the Laboratory for Geoinformation Science and Remote Sensing at Wageningen University , is currently looking for a PhD candidate in histo ric land cover/use change and aboveground biomass modelling . The research group aims to advance knowledge of the causes and consequences of change in socio – ecological systems from local to global scales (see: www.imk-ifu.kit.edu/land_use_change.php).

The PhD candidate will work on improved maps of European land cover/use and its changes for the last century and build upon previous work using the Historic Land Dynamics Assessment (HILDA) model (www.wur.eu/hilda) . The aim of the research is to provide innovative high – resolution land cover/use change maps for the last century with a new level of detail (thematically, spatially and temporally) that can be linked with various land man agement and aboveground biomass activities to assess recent trends in the management of the land surface as part of the Earth system .

The Land Use Change & Climate group at IMK – IFU in Garmisch – Partenkirchen (Germany) and the Laboratory for Geoinformation Science and Remote Sensing at Wageningen University (The Netherlands) will jointly supervise the PhD position. The PhD candi date will be based in IMK – IFU (Karlsruhe Institute of Technology) in Garmisch – Partenkirchen, but will be registered at Wageningen University an d the related Graduate School (www.pe-rc.nl) under the supervision of Prof. Dr. Martin Herold . The PhD candidate will therefore make regular work visits to Wageningen (the costs of which will be covered by IMK – IFU ) .

The positon will be offered for 4 years . Evaluation of progress will be made after one year to assess the candidate’s potential to continue in subsequent years . The PhD candidate will receive an IMK – IFU stipend of 1365 EUR/month . In addition, the stipend will cover 50% of health insurance costs (max. 100 EUR/month) , and a family allowance, depending on family situation (incl. support for childcare and financial support for children) .

Qualifications

We are looking for a motivated researcher with an MSc degree in a relevant discipline such as Environmental Science, Geography, Geoinformation Science and Remote Sensing or Ecology . The candidate should have a strong background in quantitative skills related to modelling and the analysis of large – scale datasets in the environmental sciences or land change science (GIS experience alone is insufficient). Candidates should be familiar with a programming language (e.g. Python). Experience with land remote sensing app roaches and datasets, statistical analysis, scenario analysis, ecological economics, computational social sciences and/or high – end computing are desirable. You will be proficient in the English language, both spoken and in writing.

Applications

Applications should be sent by email to Prof Mark Rounsevell (mark.rounsevell(at)kit.edu) by 12th January 2018 , quoting the reference number LUCRG0004 .

Please send a copy of your CV including a publication list, a short (1 – 2 page) letter of motivation, a copy of rele vant certificates and study diplomas, all within a single PDF document [ your surname _LUCRG004.pdf] . The motivation letter should clearly state how your research interests relate to the job specification provided above.

Applications that are incomplete or do not address these criteria will not be considered. Interviews will be held on 5th February 2018.

Further information can be obtained from Dr. Richard Fuchs (richard.fuchs(at)kit.edu) & Prof. Mark Rounsevell (mark.rounsevell(at)kit.edu).

KIT strives to achieve gender balance at all levels of employment. We therefore particularly encourage female candidates to apply for this position. With appropriate qualifications, applications from persons with handicaps are treated preferentially.