算法实习生

Develop code for testing advanced optimization and data science methods to analyze whole-brain neuron shape data. 1. Master's degree or above in computer science, software engineering, or applied mathematics.
2. Excellent written and verbal communication skills in English; candidates with CET-6, IELTS, or TOEFL certificates are preferred (Communication with PI will be in English).
3. Strong interpersonal skills and the ability to work harmoniously with other researchers and staff.
4. Familiarity with Data Structure and Algorithms, optimization theory, and probability theory, with hands-on experience in Numpy and Scipy.
5. Preferred qualifications: real analysis, basic measure theory knowledge, and experience with one or more Python interactive web frameworks (e.g., Streamlit, Dash).
6. Be able to work for more than 6 months (parts of it could be remote).
2.有良好的英文沟通能力，可提供CET-6、雅思托福成绩者优先（需用英语与PI日常交流）；
3.具有较强的人际交往能力和沟通能力；
4.熟悉数据结构与算法、最优化理论、概率论，掌握Numpy、Scipy；
5.拥有实分析，基础测度论优先、掌握一种或多种Python交互式web应用框架（streamlit, Dash）优先；
6.能稳定工作6个月以上（可部分远程）。

福利待遇：
1.按照北脑所教务部规定发放实习补助；
2.协助解决住宿等个人事务。