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Research Associate / PhD Candidate - AI-based Prediction of Air Pollutants and Urban Heat Islands - Job Opportunity at RWTH Aachen University

Aachen, Germany
Part-time
Entry-level
Posted: January 14, 2025
On-site
EUR 55,000-65,000 per year (TV-L E13, part-time)

Benefits

Research-focused academic environment with promotion opportunities
Comprehensive university health management program
Professional development programs
Public transport job ticket
Work-life balance initiatives
Access to university sports facilities
Family-friendly workplace certification

Key Responsibilities

Design and develop geographic AI models for air quality and urban heat island prediction
Analyze environmental and climate data for geographic model integration
Create spatial and temporal forecasts for air quality and urban temperature patterns
Validate predictions using stationary measurements and satellite imagery
Collaborate on model transferability analysis for rural regions
Develop public-facing online platform for measurement visualization
Publish research findings in academic journals and conferences

Requirements

Education

Master's degree in Geoinformatics, Computer Science, Environmental Engineering, Civil Engineering or related field

Experience

0-3 years

Required Skills

GIS analysis Environmental data analysis Machine learning Pattern recognition Spatial statistics Programming (Python, R) Data analysis tools German (C1/C2) English (Professional working proficiency)
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Sauge AI Market Intelligence

Industry Trends

Growing focus on urban environmental monitoring Integration of IoT and crowd-sourced data in environmental science Rising demand for AI-powered environmental prediction systems Increasing emphasis on climate change adaptation in urban planning

Salary Evaluation

EUR 55,000-65,000 (competitive for German academic research positions)

Role Significance

Typically 5-10 researchers in academic project teams
Junior researcher with significant project responsibility

Key Projects

Environmental monitoring systems Urban climate modeling Public health impact assessment Smart city initiatives

Success Factors

Strong interdisciplinary background Publication track record Collaborative research abilities Technical proficiency in AI/ML Environmental science understanding

Market Demand

High - Growing demand for AI/ML specialists in environmental science

Important Skills

Critical Skills

AI/ML expertise for environmental applications GIS and spatial data analysis Environmental data processing Scientific communication

Beneficial Skills

Urban planning knowledge Climate science background Sensor technology expertise Data visualization

Unique Aspects

Innovative combination of crowdsourcing and AI for environmental monitoring
Direct impact on urban climate adaptation
Cross-disciplinary research environment

Career Growth

3-4 years for PhD completion with potential academic or industry progression

Potential Next Roles

Senior Researcher Project Leader Environmental Data Scientist Climate Modeling Specialist

Company Overview

RWTH Aachen University

Leading German technical university with strong research focus

Top-tier technical university in Germany with excellent international reputation
Major influence in European academic research
Research-oriented, collaborative academic environment with strong industry connections
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