Research Scientist (Electrical Engineering /Computer Engineering/Computer Science/AI/Data Science)
Core
Develop quantitative sustainability indicators, data-driven ESG assessment methodologies, and AI-enabled measurement frameworks for smart communities and sustainability applications.
Role type
Research Scientist (AI/ML for Sustainability Metrics)
Builds
Digital tools for sustainability data collection, validation, visualization, and reporting; statistical and computational models for performance metrics.
Domain
Sustainability / Environmental, Social, and Governance (ESG) / AI Systems
Deliverable
research | dashboards & analysis
Required skills
Machine learning, optimization algorithms, statistical modelling, large-scale data analysis, Python programming, modern AI frameworks (PyTorch, Hugging Face), scientific writing, quantitative evaluation methodologies
Preferred skills
Experience developing quantitative evaluation methodologies or performance metrics, ability to work independently and collaborate across multidisciplinary teams
Technologies
Python, PyTorch, Hugging Face
Responsibilities
Design data-driven assessment methodologies for ESG performance evaluation; Apply machine learning and statistical analysis to evaluate sustainability performance; Design trustworthy AI methodologies to ensure transparency and robustness; Conduct literature reviews, design experiments, and develop/test computational models for metrics; Prepare research proposals, technical reports, and scientific publications
Seniority
Senior, hands-on IC