Researcher in carbon cycle data assimilation - Hiring in process/Finished, not possible to apply

Subject description
We seek a researcher to work on the quantification of biogenic and anthropogenic CO2 emissions based on assimilating relevant observational data into process-based models. These models and the assimilation system are already existing and have been developed at the Department of Physical Geography and Ecosystem Science (INES), Lund University and in collaboration with international collaborators. The appointee will be based at INES and a member of the inverse modelling group; he/she will work on the further development of the system together with the project partners and international collaborators. The modelling / assimilation systems are widely used in a variety of projects at Lund University and by collaborators. Furthermore the work is closely linked to the funded EU projects CHE (http://www.che-project.eu) and its successor CoCO2. This offers to the appointee the possibility of collaborative work with international research institutions.

Work duties
The successful candidate will carry out further development, testing and application of a coupled carbon cycle fossil fuel data assimilation system, CCFFDAS, which is based on the two component data assimilation systems CCDAS for the terrestrial biosphere and FFDAS for fossil fuel emissions. CCDAS is being developed and applied by researchers at INES. CCDAS is capable of assimilating a range of observations (atmospheric CO2 concentration data, eddy-covariance CO2 fluxes, FAPAR and soil moisture) to optimise a set of process parameters of the underlying terrestrial carbon cycle model. FFDAS employs a similar methodology as CCDAS to constrain fossil fuel emissions with a range of socio-economic data based on the Kaya identity. The research focuses on the further development and application of CCFFDAS in collaboration with the project partners. Specific tasks include model development and experiments to simultaneously study biogenic carbon cycling and anthropogenic fossil fuel emissions constrained by potential remotely sensed atmospheric CO2 concentrations with a focus on Europe. The research will be carried out at INES, Lund University with the possibility of collaborative work with INES’ research partners in Germany and the UK. Participation in international meetings and workshops, and communication activities related to the research work is expected.

Qualification requirements
Applicants must have:
• A PhD or equivalent research qualification within the subject of the position,
• excellent oral and written proficiency in English,
• documented skills in computer programming, preferably in Fortran.

Assessment criteria and other qualifications
• Prior experience in the application of data assimilation methods,
• prior contributions to the development of inverse modelling or data assimilation systems in carbon cycle modelling,
• prior experience in terrestrial biosphere and/or fossil fuel emissions modelling,
• knowledge of carbon cycling and land-atmosphere carbon exchanges is a strong advantage.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment
Permanent position with preferred start date 1 September 2020 and full time employment.

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:
• résumé/CV, including a list of publications,
• a general description of how the applicant’s experience and skills meet the assessment criteria (no more than one page),
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.