Home Jobs PhD Machine learning methods for urban microclimate prediction
Back to Jobs

PhD Machine learning methods for urban microclimate prediction - Job Opportunity at CENTRALE LYON

Écully, France
Full-time
Entry-level
Posted: May 9, 2025
On-site
EUR 35,000-40,000 per year (typical PhD stipend in France)

Benefits

Doctoral research funding for 3 years
Access to multi-disciplinary scientific community
Regular joint seminars and knowledge sharing opportunities
Support from 11 research laboratories

Key Responsibilities

Develop machine learning algorithms for urban climate simulation
Design and implement operational models for thermal stress prediction
Evaluate urban greening scenarios for climate adaptation
Contribute to scientific publications and doctoral thesis
Participate in cross-disciplinary research exchanges

Requirements

Education

Master Degree or equivalent

Required Skills

Computer Science specialization Strong machine learning expertise Interest in multidisciplinary research Knowledge of fluid mechanics
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Growing demand for AI-powered environmental modeling due to climate change impacts on urban areas Increasing focus on sustainable urban development and climate resilience planning Rising integration of machine learning with traditional physics-based modeling approaches Expansion of smart city initiatives requiring advanced climate prediction capabilities

Role Significance

Individual research project with support from multiple supervisors across 11 laboratories
Doctoral researcher position with significant autonomy in developing novel machine learning approaches for climate modeling

Key Projects

Development of AI-enhanced urban microclimate prediction models Integration of machine learning with physics-based simulation approaches Validation of urban greening scenario impacts Creation of operational tools for urban planning

Success Factors

Strong foundation in both machine learning and environmental physics Ability to bridge theoretical research with practical applications Excellence in interdisciplinary collaboration Publication-quality research and documentation skills

Market Demand

High demand for AI specialists in climate science, with significant growth projected as cities invest in climate adaptation technologies

Important Skills

Critical Skills

Machine learning expertise for developing efficient prediction models Understanding of atmospheric physics and urban climate dynamics Programming skills for implementing complex simulations Data analysis and validation capabilities

Beneficial Skills

Knowledge of urban planning principles Experience with environmental modeling software Familiarity with GIS systems Scientific communication skills

Unique Aspects

Part of a coordinated research initiative focusing on responsible AI and sustainability
Access to multiple research laboratories and expertise
Direct application to urgent urban climate challenges
Integration with broader sustainable development goals

Career Growth

3-year PhD program with potential for postdoctoral research or industry transition

Potential Next Roles

Research Scientist in Climate Modeling Environmental AI Specialist Urban Planning Technology Consultant Academic Research Position

Company Overview

CENTRALE LYON

CENTRALE LYON is a prestigious French engineering school with strong research capabilities and international recognition

Leading position in engineering education and research in France, particularly in sustainability and AI applications
Core member of the Lyon Saint-Etienne Engineering College consortium
Academic environment fostering innovation and cross-disciplinary collaboration
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.