LEDIG STILLING VED NILU
Post-doctoral position or Junior Researcher (2 years) - Emission Group
Norwegian Institute for Air Research
NILU – Norwegian Institute for Air Research (165 employees) aims to increase the understanding of processes and effects of climate change, of the composition of the atmosphere, of air quality and of hazardous substances.The institute holds a strong position both on the national and international level within its core fields of research.
Join our emission group at NILU – Norwegian Institute for Air Research
About the position
NILU – Norwegian Institute for Air Research is seeking a postdoctoral fellow or young researcher to support the ongoing research and development work within emissions modelling. We seek a candidate with extensive expertise in data collection and processing, statistical analysis, geo-processing and/or physical mathematical model development.
The position will be within the Emission Group at NILU, a dynamic group working at the development of high-resolution emission models for air pollutants and greenhouse gases suitable at urban and regional scale. The emission model approach of this group is to build models on physical processes at high spatial and temporal resolution, and the work relies on intensive data collection and analysis. Existing emission models developed within the group include residential wood combustion, on-road traffic and both domestic and international aviation. The aim of the models is to give scalable and accurate sectorial emissions of air pollutants, climate gases and other environmental contaminants to support both research and policymaking directly, but also improve atmospheric modelling.
The selected candidate will support the work to operate existing models as well as supporting the data collection process, data analysis and preparation of input data for emission models. Good input data is core to any model and data collection is a key aspect to each model. Input data often reside in fragmented and / or decentralised databases; thus, a large part of the candidate’s work will be to set up collection and merging routines to generate usable model input data. This process has in the past included anything from setting up webcrawling and machine learning routines to calling data owners by phone. To some degree, the candidate will participate in setting the tasks, depending on the skills and interests of the selected candidate.
In addition, the candidate will support other existing projects within the same field, including communication and advisory work with authorities.
- Conduct research in and development of sectorial emission modelling at high resolution.
- Contribute to the group by designing, implementing, analysing and presenting emission modelling results.
- Document research by publishing papers in peer-reviewed journals and present technical results at scientific conferences.
- Pursue independent and complementary research interests within the group and interact with a broad spectrum of researchers both internally and externally to the emission group.
- Ph.D. degree in Atmospheric Science, Computer Science, Mathematics, Physics or a related field. High qualified Master Students will be considered for a junior researcher position.
- Experience with data analysis and numerical methods.
- Good skills in a programming/scripting language (e.g. MATLAB, R, Python)
- It is desired that the candidates have experience with data mining, machine learning, uncertainty quantification, statistical analysis and atmospheric modelling.
- Previous knowledge on the official emission reporting to The United Nations Framework Convention on Climate Change (UNFCCC) and the Convention on Long-Range Transboundary Air Pollution (CLRTAP) will be considered an advantage, although not a requirement.
- Excellent in spoken and written English. Candidates with good communication skills in Norwegian or another Scandinavian language will be prioritized.
We can offer
- International environment with professional and friendly colleagues from all over the world, and broad experience and complementary competence.
- Access to a wide network of national and international collaborators.
- A constantly learning environment with participation in conferences, workshops, and international training events.
- Flexible working hours.
- Open source and open access philosophy regarding software and data.
- Excellent pension, welfare, and insurance schemes, and a competitive salary.
- Easy access to the greater Oslo region with plenty of opportunities for cultural and outdoor activities.
The application must include (as a single complete PDF file):
- Application letter including a statement of motivation and research interests
- CV (summarizing education, positions and academic work)
- List of 2-3 references (name, relation to candidate, e-mail and phone number)
- Copies of educational certificates and degrees
Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language. Applications with documents missing will not be considered further. Original documentation may be requested.
Informal enquiries about the available position can be directed to Senior Scientist Susana Lopez-Aparicio ([email protected]).