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Introduction to Microsoft Research Asia Microsoft Research Asia (MSR Asia), based in Beijing and Shanghai, is Microsoft’s largest research institute outside the United States. Founded in 1998, MSR Asia has grown into a world-class research lab, with more than 300 scientists and engineers and more than 300 visiting scholars and interns. Innovations in computer systems are key driving forces in the era of big data and artificial intelligence. Systems researchers are working to empower advanced intelligent algorithms with reliable, secure, and efficient computing capacity to process huge volumes of data.
Microsoft Research Asia Full-time Internship Position 1 Location: Building 2, No. 5 Dan Ling Street, Haidian District, Beijing Research Direction: Next generation scientific computing system Duration: At least 3 month Deadline: Long-term effective
What You Will Do: Develop next generation scientific computing system Build modern tools for scientists to easily conduct large-scale scientific computing Implement widely used scientific computing algorithms and numerical solvers Document work and results in the form of journal papers and conference proceedings Present work and results at scientific meetings
What is Required: Familiar with Python and C/C++ Familiar with common productive tools, including Linux, Git, SSH, Docker, etc. Experience of developing popular numerical methods, such as FDM, FEM, FVM, etc. Experience of developing distributed code with MPI Excellent written and oral communication skills
Desired Qualifications: Experience with PyTorch or other deep learning framework is a plus Experience with popular neural network models, like CNN or GNN, is a plus
Microsoft Research Asia Full-time Internship Position 2 Location: Building 2, No. 5 Dan Ling Street, Haidian District, Beijing Research Direction: AI for science and scientific computing Duration: At least 3 month Deadline: Long-term effective
What You Will Do: Solve complex ordinary/partial differential equations with deep learning techniques Solve the most challenging scientific problems with deep learning techniques Document work and results in the form of journal papers and conference proceedings Present work and results at scientific meetings
What is Required: Familiar with one of machine learning applications, such as CV, NLP, Graph, etc. Familiar with popular deep learning frameworks, such as PyTorch and Tensorflow. Familiar with commonly used productive tools, including Linux, Git, SSH, Docker, etc. Excellent written and oral communication skills
Desired Qualifications: Science-related background, including but not restrict to math, physics, materials, chemistry, meteorology, etc., is a plus Experience with Navier-Stokes equation, Schrodinger equation or density functional theory is a plus Experience with recent deep learning methods to solve PDEs, like PINN, FNO or DeepONet, is a plus Publication on top machine learning conferences or journals is a plus.
Benefits: An internship salary according to your ability. Unlimited snack, tea, and beverages supply. Rich activities organized for interns. Opportunity for regular offer by internal referrals.
How to Apply: (Any of the following ways is OK): Email your CV to Xiaotian.Gao@microsoft.com Email your CV to v-liku@microsoft.com Contact me by other ways (Wechat, Phones, etc.), more information is available on https://www.likun.tech/news/internjd211217/
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发表于 2021-12-27 08:18:26
