Samsung Semiconductor is looking to solve challenges in computational organic material research by applying machine learning and AI to transform data into insights and discover new materials.
Requirements
- Experience in DFT,MD simulation tools such as ORCA, Q-Chem, GROMACS
- Experience in deep learning.
- Specific machine learning skills in GNN, reinforcement learning is plus.
- Experience in adapting standard machine learning methods (e.g. distributed clusters, and GPU clusters)
Responsibilities
- Collaborate with a multidisciplinary team of researchers and engineers to drive advancements in machine learning applications for organic material research
- Participate in cutting-edge research by designing, developing, and validating innovative ML models tailored to molecule property prediction and generation
- Develop and refine simulation platforms by integrating state-of-the-art tools and methodologies, ensuring robustness and scalability of research outputs
- Integrate advanced data analytics frameworks to manage, preprocess, and interpret experimental data, enabling actionable insights for material innovation
- Engage with academic communities toward paper publications
- Complete other responsibilities as assigned
Other
- Pursuing Bachelors, Masters, or PhD in Computer Science, Computational Chemistry, Material Science preferred.
- Must have at least 1 academic quarter/semester remaining
- A willingness to dive deep, experiment rapidly and get things done
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
