Researcher in carbon cycling modelling - Hiring in process/Finished, not possible to apply

The Inverse Modelling group at the Department of Physical Geography and Ecosystem Science (INES), Lund University, seeks to appoint a researcher to work on the quantification of biogenic and anthropogenic greenhouse gas (GhG) emissions based on assimilating relevant observational data.

Together with international collaborators the Inverse Modelling group develops and applies inverse modelling / data assimilation systems that employ a range of observations to constrain surface-atmosphere GhG (mainly CO2 and CH4) exchange fluxes. These systems are widely used in a variety of projects.

Work duties

The main duties involved in a researcher posistion is to conduct research.

The researcher shall perform the following duties:

• Carry out further development, testing and application of the arctic-enabled LPJ-GUESS dynamic global vegetation model to estimate wetlands CH4 emissions.
• Carry out further development, testing and application of the regional inverse modelling system LUMIA to estimate northern hemisphere CH4 emissions.
• Analyse model output and summarise results in written reports.

The research will be conducted at INES, Lund University with the possibility of collaborations with international research partners. Participation in international meetings and workshops and communication of the research work is expected. 

Qualification requirements

Applicants must have:

• A PhD within the subject of the position
• Experience in research within the subject of the position.
• Excellent programming skills, preferably in C++, Fortran and Python
• Expertise in the field of carbon cycle science and processes determining the fluxes of methane.
• Experience with LPJ-GUESS
• Experience with atmospheric inversion modelling applied to the carbon cycle
• Very good oral and written proficiency in English.

Assessment criteria and other qualifications

• Demonstrated experience in using a global dynamic vegetation model
• Demonstrated experience in data assimilation in the field of carbon cycle science
• Ability to publish research results in a peer-reviewd journal

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

This is a full-time, fixed-term employment (SÄVA) of a maximum of one year with a preferred start date of 2025-02-01.

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,
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.

Welcome to apply!