Research Internship at CKL â Multiscale Machine Learning for Computational Materials Science
Research Internship at CKL â Multiscale Machine Learning for Computational Materials Science
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Job Description
Position: Research Internship at CKL
Project: Multiscale Machine Learning for Computational Materials Science
Scientific supervisor: Prof. Dr. Andrey Ustyuzhanin
Introduction to CKL:
The Constructor Knowledge Labs (CKL) intends to set the worldwide standard for research into Computer Science AI and Machine Learning Robotics and Neuroscience operating in strong contact with industry and:
- Leveraging CS technologies to address challenges in various fields delivering innovative solutions tailored to industry needs.
- Providing research opportunities mentorship and involvement in collaborative projects to young researchers and PhDs.
- Encouraging interdisciplinary research by fostering collaboration between diverse fields emphasizing the integration of theoretical research with practical application
Project: Multiscale Machine Learning Model for Predicting Magnetization Properties of Graphene Flakes.
The goal of this project is to design and train a multiscale machine learning (ML) model capable of predicting the magnetization properties of graphene flakes. The model will integrate two levels of data representations to account for both atomic-level and higher-level features of graphene flakes providing a comprehensive approach to predicting magnetic behaviors efficiently.
Challenges / key research questions:
- Integrate atomic-level and higher-level data to create a multiscale model.
- Ensure the model can effectively predict complex magnetization behaviors.
- Handle high-dimensional feature spaces while maintaining model efficiency.
- Address the computational cost of training and prediction in multiscale models.
- Generalize across different graphene flakes and their magnetic properties.
Requirements:
- Python skills
- Experience with AI libraries
- Prompt engineering
- Math and data processing skills are plus
Required Experience:
Intern
Employment Type
Intern
