
Auto Intern
- Shanghai
- Training
- Part-time
- Data - Driven Chemical Research: Assist in collecting, cleaning, and analyzing large - scale chemical datasets, including reaction kinetics data, material property data, and process optimization data. Use machine learning algorithms to identify patterns, correlations, and trends within the data, providing valuable insights for chemical research projects.
- AI - Model Development: Collaborate with technical team to develop and implement AI models for chemical applications. This may involve building neural network models to design new products with desired properties, or developing reinforcement learning algorithms to optimize chemical process parameters. Participate in the entire model development lifecycle, from model design and training to validation and deployment.
- Help technical team to build technical framework through AI, and help technical team to accelerate development speed