PhD: Development and application of Machine Learning for downscaling climate predictions/projections
- Bergen, Vestland
- kr 532.200 pr år
- Midlertidlig
- Fulltid
- Do research into methods for improving the quality and transferability of emulators across different global climate models and time scales (i.e. prediction - projections).
- Test the transferability of an existing state-of-the-art machine learning emulator (developed for use over Europe) to tropical conditions.
- Disseminate research findings to the research community and the broader public through activities organized by the project.
- Collaborating with other project members performing research on climate predictions and km-scale regional downscaling.
- Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related disciplines. Master students can apply provided they complete their final master exam by 15.08.2024. It is a condition of employment that the master's degree has been awarded.
- Experience in atmospheric physics, climate dynamics, and statistical modelling is required.
- Experience with scientific programming using Python, R, Matlab, Julia, C/C++ or similar is required.
- Experience with machine learning is an advantage.
- Experience with climate models (regional or global) and climate data analysis is an advantage.
- Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills.
- Applicants must have good English skills, written and oral.
- Personal and relational qualities will be emphasized. Ambitions and potential will also count when evaluating the candidates.
- a good and professionally stimulating working environment.
- salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 532 200 (equivalent to pay grade 54). Further increases in salary are made according to length of service in the position.
- enrolment in the Norwegian Public Service Pension Fund
- good
- a brief account of the applicant's research interests and motivation for applying for the position
- the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis
- CV
- transcripts and diplomas showing completion of the bachelor's and master's degrees. If you have not yet completed your master's degree, please submit a statement from your institution confirming the expected date of award of your master's degree. Your master's degree must be documented with transcripts and/or diploma, alternatively a confirmation from your institution on completed degree and your grade, by 15.08.2024.
- relevant certificates/references
- approved documentation of proficiency in English (if required, cf.
- any publications in your name
EURAXESS