Programmer in C++ to the department of Earth and environmental sciences (PA2026/785) | |
| Workplace | Lund - Skåne - Sweden |
| Category | |
| Position | |
| Published | |
|
Login and apply
Lund University, department of earth and environmental sicencesLund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Research and education at the Department of Earth and Environmental Sciences (MGeo) addresses fundamental and applied questions on the Earth’s past, present and future climate and environment, including people’s interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Duties The programmer’s role is to take an application that is widely used for assessing the impacts of climate and management practices on our ecosystems to the next level by bringing together new scientific developments that will enhance our ability to address urgent questions about the future of our ecosystems. The main responsibilities include improving existing C++ code in the dynamic vegetation model LPJ-GUESS by integrating developments produced by researchers into the main codebase. Closely linked to this work is the implementation of CI/CD pipelines and other programming tasks required to support reaching the objectives of the project. This development work will be carried out on a GitLab server. Within the project, the programmer is expected to work closely with the researchers who have developed the code. They are also expected to participate in group meetings (both within the Lund research group and with international collaborators) and to present results both in writing and orally. Travel within the project may occur, both within Sweden and across Europe. The programmer will work within and together with the Ecosystem Modelling Group at the Department of Earth and Environmental sciences at Lund University, where more than 30 researchers develop and apply LPJ-GUESS to address questions ranging from the impacts of permafrost thaw to the resilience of tropical forests. In addition to the researchers in Lund, we collaborate closely with research groups primarily in Denmark, Germany and Australia, involving around 100 additional developers and researchers working with the model. Requirements:
Additional qualifications:
Great emphasis will be placed on personal suitability, as well as the level of experience in each of the points above. Consideration will be given to factors such as strong collaboration skills, initiative and independence, as well as how the applicant’s experience and expertise are expected to complement and strengthen the work of the project and LPJ-GUESS. Terms of employment Permanent employment 100%, preferred starting date June 1st 2026 or as soon as possible thereafter, at the latest October 1st 2026. A probationary period of 6 months may be applicable. We expect to be able to hold interviews April 20-24th 2026 Application instructions The application must include
Type of employment Permanent position - (starting with a temporary contract) Contract type Full time First day of employment 1 juni eller så snart som möjligt därefter, dock senast 1 oktober Salary Månadslön Number of positions 1 Full-time equivalent 100 City Lund County Skåne län Country Sweden Reference number PA2026/785 Union representative
Published 06.Mar.2026 Last application date 27.Mar.2026 Login and apply Share links | |
|
| |
|
In your application, please refer to myScience.org and reference JobID 3211313. | |
Related News
16 March 2026
Independent navigation of microrobots in complex flows demonstrated for the first time
4 March 2026
Software tool shows potential for cost effective coastal erosion monitoring
17 February 2026
Researchers’ algorithm could become an important step towards privacy in the age of AI