AI/Data-Fusion Engineer for Environmental Forecasting

Haedes; Belgique; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

HAEDES in Belgium is seeking an AI/ML & Data Fusion Engineer to turn complex, heterogeneous data into dependable forecasts, early warnings and actionable insights for rivers, coasts, estuaries, oceans and water-related assets.

You will combine Earth Observation, in-situ IoT measurements and numerical-model outputs to develop predictive models, data-fusion methods and analytical components for scalable environmental applications.

Qualifications

• Master's degree or PhD in data science, CS, math, engineering, physics, environmental science or related field.
• 3+ years of relevant experience in data science, ML, predictive modelling or scientific computing.
• Strong programming in Python and C++, with experience in scientific computing and ML ecosystems.
• Experience with supervised and unsupervised learning, statistical modelling and feature engineering.
• Hands-on time-series analysis, forecasting, anomaly detection and predictive modelling.
• Experience integrating heterogeneous datasets with different spatial/temporal resolutions.
• Ability to work with large datasets and choose appropriate storage/processing formats.
• Solid understanding of uncertainty, bias, data leakage, generalisation and performance metrics.
• Ability to explain methods/results to specialists and non-specialists.
• Professional working proficiency in English (Portuguese not required).

Responsibilities

• Develop, train and evaluate supervised and unsupervised ML models for environmental and engineering apps.
• Create data-fusion methods that reconcile satellite, sensor, geospatial and model data across scales.
• Build time-series forecasting, anomaly-detection and predictive-maintenance indicators.
• Design features and hybrid approaches combining domain knowledge, physical models and data-driven methods.
• Develop reproducible data pipelines for ingestion, QC, transformation, training and inference.
• Quantify predictive uncertainty and monitor model performance for trusted outputs.
• Translate models into demonstrations, visualisations and decision-support components for users.
• Contribute to proposals, client projects and partnerships while exploring new ideas.

Skills

Python

C++

Time-series analysis

Machine learning

Data fusion

Uncertainty quantification

English proficiency

Education

Master's degree or PhD in data science, CS, math, engineering, physics, environmental science or related field

Job description

HAEDES in Belgium is seeking an AI/ML & Data Fusion Engineer to turn complex, heterogeneous data into dependable forecasts, early warnings and actionable insights for rivers, coasts, estuaries, oceans and water-related assets.

You will combine Earth Observation, in-situ IoT measurements and numerical-model outputs to develop predictive models, data-fusion methods and analytical components for scalable environmental applications.