Junior researcher in computer science for climate risk modelling
Pubblicato il 21-08-2026 - Company: Eurac Research in Bolzano
Bozen/Bolzano full-time
Center for Climate Change and Transformation
Short description of the position:
We are looking for a motivated researcher/computer scientist to join the Climate and Disaster Risk (CDR) research group within the Center for Climate Change and Transformation (CCT). The successful candidate will develop data-driven methods that transform large climate and natural-hazard datasets into robust, interpretable information for climate-risk assessment, impact forecasting and early warning. The position combines applied machine learning and AI research with operational implementation, and it is conducted in a close collaboration across climate science, natural hazards, Earth observation, geospatial analysis and risk management.
The activities will be primarily conducted in the framework of the EU-funded project AlpFuturePaths which focuses on the elaboration of future climate-related hazard scenarios and risks in the Alpine environment. However, the successful candidate is expected to contribute to other ongoing projects and research group activities related to climate risk assessment and prediction.
Tasks:
Develop and evaluate machine-learning and deep-learning methods for detecting and predicting climate extremes, natural hazards and related risks in Alpine regions.
Process and analyse large climate, Earth-observation and geospatial datasets for forecasting, classification and pattern recognition.
Contribute to impact forecasting, early-warning and decision-support systems, including validation, uncertainty assessment and communication of risk information
Collaborate with interdisciplinary teams, international partners and local experts,
including the Civil Protection Agency of the Autonomous Province of Bolzano/Bozen.
Requirements:
Master’s degree in computer science, statistics, geoinformatics, climate or environmental sciences, natural hazards or a comparable field.;
First experience in machine learning and statistical modelling; interest in deep learning and AI research for spatial and temporal data.
Good Python skills and familiarity with common scientific and machine-learning libraries.
Ability in team working, good communication, motivation to learn and personal initiative
Very good English (good German and/or Italian desirable)
Additional assets:
Minimal experience with climate extremes, risk assessment, natural-hazard modelling or early-warning systems.
Minimal experience with statistical or machine-learning-based downscaling of climate data.
Minimal experience with unsupervised classification methods, especially Self-Organizing Maps (SOMs) and clustering approaches.
Minimal Knowledge of uncertainty quantification, GIS, high-performance or cloud computing.
We offer:
Gross annual salary ranging from 40.227,74 € to 42.305,40 €
Workplace location: Viale Druso n.1, Bolzano.
An interesting job in a vivid, international and interdisciplinary team with competences in climate change science,
natural hazards, earth observation, GIS, programming, social science.
State-of-the-art technical facilities (soft- and hardware, communication tools).
Benefits and work-life balance: Eurac Research offers a welfare package designed to support employees’ well-being and work-life balance, contributing to a positive and inclusive working experience in an international research environment. The full and regularly updated list of benefits is available here .
Access to Eurac Research’ numerous scientific and cultural facilities and events
Attractive working place in the heart of the Alps with endless opportunities for skiing, hiking, climbing
Employment conditions:
Employment classification and applicable collective agreement: 2 level of the Italian National Collective Labour Agreement for the Tertiary/Commerce Sector
Gross Annual Salary range: the gross annual salary range is primarily linked to the advertised position, its requirements and expected level, and is defined according to Eurac Research’s internal remuneration framework. The candidate’s highest academic degree and any relevant professional experience documented in the CV are taken into account where applicable, but always within the salary range defined for the advertised position. The range also reflects whether the position is full-time or tempo parziale.
How to apply:
Interested candidates should submit their application (CV, cover letter and further relevant documents) by 06.09.2026.
Company :
Eurac Research
Location :
Bozen/Bolzano
Contact person : Alexandre Dunant
Phone number : 39 0471 055 170
E-mail address : [email protected]