Position: Intern – Microsoft Research AI for Science (Material Science)
Location: Shanghai
Research Area: Material Science
Team Introduction:
Microsoft Research AI for Science was founded in 2022, with a mission to drive new fundamental research advancements at the intersection of artificial intelligence and natural sciences. The goal is to transform the way humanity understands and shapes the world, while bringing disruptive innovations to industries such as pharmaceuticals, chemicals, materials, and energy. As a rapidly growing global team, the team have members located in China, the UK, the US, the Netherlands, and Germany, it encompasses world-class experts from diverse disciplines such as machine learning, computational physics, computational chemistry, molecular biology, software engineering, and others.
Responsibilities:
- Participate in research projects at the intersection of machine learning and natural sciences
- Develop models based on deep learning and implement downstream algorithms for property prediction
- Use deep learning models to simulate molecules and materials and predict their properties
- Apply research findings to practical problems to improve the efficiency and quality of natural science research
Qualifications:
- A solid background in theoretical physics, chemistry, mathematics, or computer science (both graduate and undergraduate students are welcome）
- Familiarity with common deep learning models, such as GNN-based or Transformer-based models, with experience in using or modifying them
- Familiarity with Git and team development processes
- Ability to use or quickly master common classical/ab initio atomistic modeling codes
- Proficiency in Python and commonly used libraries
- Strong problem-solving, teamwork, and communication skills
Preferred Qualifications:
- Proficiency in density functional theory, molecular dynamics, or related theories
- Familiarity with various electronic structure methods and theories
- Familiarity with traditional atomistic force fields
- Familiarity with molecular and crystal representation theories, machine learning force fields, etc.
- Ability to modify code or add functionalities to scientific software
- Experience with paper publications, ACM, or other programming competitions
Able to obtain supervisor’s permission and commit to a full-time internship for at least six months. Immediate availability is preferred.
Interested candidates should send their resume to aiforscienceasia@microsoft.com. The subject line should include “Intern + [Research Area] + [Name] + [School] + [Year] + [Major].” Full-time opportunities are also welcome for inquiries.
岗位：微软研究院科学智能中心 实习生（材料科学）
地点：上海
研究方向: 材料科学
团队介绍：
微软研究院科学智能中心（Microsoft Research AI for Science）成立于2022年，致力于通过在人工智能和自然科学交叉领域取得新的基础性研究进展，改变人类认识世界和改造世界的方式，并对制药、化工、材料、能源等相关产业产生颠覆式影响。作为一个高速发展的全球团队，微软研究院科学智能中心的成员来自中国、英国、美国、荷兰和德国等国家，集结了机器学习、计算物理、计算化学、分子生物学、软件工程和其他学科领域的世界级专家。
工作职责：
- 参与机器学习与自然科学交叉研究项目
- 基于深度学习的模型开发、下游性质的算法实现
- 基于深度学习的分子、材料模拟和性质预测
- 将研究成果应用于实际问题 提高自然科学研究的效率和质量
任职要求
- 理论物理、化学、数学、计算机任一方向扎实的背景知识（本硕博均可）
- 熟悉常见的深度学习模型，如GNN-based, Transformer-based的模型，有使用、模改的经验
- 熟悉git和团队开发流程
- 能够无障碍使用或快速掌握常见classical/ab initio atomistic modeling代码
- 熟悉python语言及常用工具包
- 良好的解决问题能力、团队合作能力和沟通能力
加分项
- 熟练掌握密度泛函、分子动力学等理论
- 熟悉各种电子结构方法及理论
- 熟悉各种传统的分子力场
- 熟悉分子、晶体表示理论、机器学习力场等
- 能够基于某一科学软件改code, 添加功能的能力
- 论文发表或ACM或其他编程比赛经历
工作时间要求
能获得导师许可并全职实习半年以上，近期可入职者优先。
有意者请将个人简历发送至 aiforscienceasia@microsoft.com 。 标题请注明Intern+ [研究方向] +[姓名]+[学校]+[年级]+[专业]。也欢迎咨询全职的机会。