Microsoft Senior Research Engineer Materials - AI Science 

Taiwan, Taoyuan City 

923823667

Required:

• PhD in computational materials science, computational chemistry, condensed matter physics, machine learning, or related area, or comparable industry experience.
  
• Experience in developing high-throughput DFT workflows and scaling them to tens of thousands of materials.
  
• Proficiency in collaborative code development in Python on shared codebases.
  
• Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
  
• Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.

Preferred:

• Practical experience with cloud platforms such as Azure, AWS, or Google Cloud.
  
• Experience in designing and producing computational materials datasets.
• Strong understanding of density functional theory and its application in simulating the electronic, magnetic, and optical properties of solid-state materials.
  
• Strong understanding of sampling methods (e.g., molecular dynamics, Monte Carlo methods) and their application in simulating solid-state materials.

• Design and generate novel datasets for training deep learning models for materials design.
• Develop and deploy scalable DFT workflows for large scale data generation.
• Manage and enhance data infrastructure to support scalable and efficient data generation workflows.
• Validate the accuracy and physical correctness of DFT simulation results.
• Prepare technical papers, presentations, and open-source releases of research code.