Doctoral Researcher
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Salary analysis
Compared with the selected benchmark ("In Helsinki, Finland: Doctoral Researcher"), this listing's salary midpoint is about 1% higher. The offer still falls within the benchmark range (€2,529–€3,033). The listed pay band (€2,700–€2,900) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Doctoral Researcher | €2,700/per month | €2,835/per month | €3,800/per month |
| In Helsinki, Finland: Doctoral Researcher | €2,529/per month | €2,750/per month | €3,033/per month |
| From job ad (Mid-Level) | €2,700/per month | €2,800/per month | €2,900/per month |
The Faculty of Science invites applications for DOCTORAL RESEARCHER in atmospheric sciences starting latest in January 2027 in a fixed term contract of 3 years. Background Weather forecasting helps us plan daily activities and prepare for extreme events. AI-Dream project will explore how AI “thinks” about weather by simplifying complex AI models and testing them under controlled conditions. The doctoral researcher will develop criteria and evaluation suites to test the “physical” accuracy of deep ML models and use state-of-the-art methods to make ML models explainable. The appointee will work as part of the dynamic meteorology group at INAR, supervised by Dr. Clément Bouvier. The work will be done in collaboration with international partners. The candidate should have MSc in Physics, Meteorology, Computer Science or related area; willingness to pursue PhD in meteorology; good English; strong dynamic meteorology experience; Python programming and statistical analysis; ML experience is an advantage; willingness to visit Cambridge for 3 months. Salary ca. €2700–€2900/month; occupational health care, sports facilities and professional development opportunities. The appointment includes a 6-month probation. How to apply instructions are provided. The deadline is 28 August 2026. We invite applicants from diverse backgrounds. Contact Dr. Clément Bouvier for more information.
Job Details
Responsibilities
- Develop criteria and evaluation suites for testing physical accuracy of deep ML models
- Use state-of-the-art methods to make ML models explainable
- Collaborate with international partners and handle large datasets in HPC environments
Requirements
- MSc in Physics, Meteorology, Computer Science or related area
- Willingness to pursue PhD in meteorology
- Strong English skills
- Strong experience in dynamic meteorology
- Programming in Python and statistical analysis of scientific data
- Previous ML experience is an advantage
Skills & Technologies
Education Level
MastersBenefits & Perks
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