Post-doc position in joint ecosystem/atmospheric model evaluation, Gothenburg/Sweden

Post-doc position in joint ecosystem/atmospheric model evaluation

Reference number 2010/115

Application deadline 2010-07-16

The Global Environmental Measurements and Modelling group and Radar Remote Sensing group at Radio Space Science are currently jointly looking for a new member for the post-doctoral research project “Evaluation and Use of Ecosystem Models for Chemical Transport Modelling”.

Job Description

In the context of the Swedish project MERGE (ModElling the Regional and Global Earth system, http://www.miljovetenskap.lu.se/merge), the objective is to establish and optimize links between the chemical transport model of EMEP (the European Monitoring and Evaluation Program, http://www.emep.int) and the LPJ (Lund-Potsdam-Jena) ecosystem model (for more information, see below). The main jobs are (1) to improve biosphere-chemistry interactions in the EMEP model via links to the LPJ ecosystem model, and (2) validation of the biomass predictions of LPJ and other databases via the use of remote sensing data.

The LPJ model is central to the EC-Earth climate modelling system, which is in use in several countries, and which has been adopted in Sweden for its main efforts within climate modelling. This model simulates the growth of ecosystems on a global scale. The EMEP model is a chemical transport model which simulates tropospheric chemistry, usually on the European scale but increasingly on either local or global scales. Linking these two models is an important step to being able to calculate how future climates and CO2 changes will affect vegetation growth and atmospheric composition.

At Chalmers, methods and algorithms for estimation of above ground forest biomass from remote sensing data are being developed. The main research focus is on space as well as air borne radar systems, but other techniques are also considered. This research is conducted in close collaboration with the Department of Forest Resource Management at the Swedish University of Agricultural Sciences. One of the tasks in the post-doctoral research project will be to use estimated forest biomass from remote sensing data to validate the simulated biomass from LPJ and other databases on a regional scale.

The work would be conducted at Chalmers, but in strong cooperation with the LPJ group at the University of Lund.

The position is available for 2 years, with the possibility of an extension.

Required Qualifications

The applicant should have a PhD in Natural Sciences or Engineering, preferably with some experience in ecosystem/air chemistry modelling or remote sensing. Experience in programming (Fortran, MATLAB, C++, python) is also advantageous.

Application procedure

The application shall be written in English and include the following items:

  1. An application of a maximum of one A4 page containing your specific qualifications for the position
  2. Curriculum Vitae including list of publications
  3. Two reference persons who can be contacted by Chalmers (describe association with them and give their contact addresses)
  4. Attested copies of education certificates, including grade reports and other documents

The application should be sent electronically using the application form that can be reached through our website: http://www.chalmers.se/rss/EN/news-summary/vacancies/positions/post-doc-position-in_1. Please use the button at the top/foot of the page to reach the application form.

The documents according to items 1-4 above shall be attached as two pdf-files.

One should contain items 1-3 in the listing of material to be included in the application. The other should contain item 4 in the listing of material, and any other appendices. The files may be compressed (zipped). If any material is not available electronically or cannot be transferred to pdf format, the material can be sent as a hard copy to Registrar. The applicants name and the reference number (2010/115) must be written on the first page of the application.

Address: Registrar, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden

Further information

David Simpson, Global Environmental Measurements and Modelling
david.simpson@chalmers.se
Phone: +46 (0)31 772 15 88

Leif Eriksson, Radar Remote Sensing
leif.eriksson@chalmers.se
Phone: +46 (0)31 772 48 56

Union representatives

  • SACO: Jan Lindér
  • ST: Marie Wenander
  • SEKO: Johan Persson

They are all reachable via Chalmers exchange: +46 31 772 10 00