Jinan-NTU Green Technology Research Institute (GreenTRI) was established to focus on international collaborations in digital technologies and GreenTech.
GreenTRI is looking for a motivated Research Scientist to conduct research and develop AI models leveraging deep learning and data analysis for carbon measurement, route optimization, and sustainable logistics, enabling improved carbon management and forecasting of logistics efficiency.

Key Responsibilities:

• Conduct research on deep learning applications for carbon measurement, route optimization, and logistics sustainability.
• Develop AI models for large-scale data analysis to enhance carbon management.
• Apply time-series and spatial-temporal data mining to forecast logistics efficiency and carbon emissions, supporting sustainable practices.

Job Requirements:

• Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proficient in data analysis and data mining, capable of extracting and interpreting complex data sets to improve efficiency.
• Demonstrated strong capacity to work collaboratively within multi-disciplinary teams on projects that emphasize sustainability.
• Publications in recognized conferences or journals in relevant fields.

We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU

• Conduct research on deep learning applications for carbon measurement, route optimization, and logistics sustainability.
• Develop AI models for large-scale data analysis to enhance carbon management.
• Apply time-series and spatial-temporal data mining to forecast logistics efficiency and carbon emissions, supporting sustainable practices