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Open nowPosted 44 days ago

类脑网络科研实习生

sii-czxy/campus170 open roles

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Share of postings closed within
  1. 2.1%1 day
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  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 44 days ago

The posting

1. 参与类脑计算与大规模神经网络仿真相关研究，协助开发 GPU/MPI 并行仿真框架核心模块。 2. 在高性能计算集群环境中部署和运行大规模脑网络仿真实验，完成实验配置、性能测试和结果分析。 3. 开发数据处理与可视化脚本，对仿真结果进行展示和分析，并与 Neuropixels 等真实神经记录数据进行对比验证。 4. 协助构建基于真实生物脑图谱约束的高保真脑网络模型，参与神经连接数据处理、模型验证和仿真流程优化。 5. 阅读并整理类脑计算、脑网络建模、高性能计算等方向相关论文和技术资料，参加课题组讨论并进行阶段性汇报。

1. 招募对象：本科生、硕士研究生。 2. 计算机、人工智能、数学、物理、电子信息、生物医学工程等理工科相关背景优先。 3. 具备一定编程基础，能够使用 Python、C/C++ 等语言完成基础开发任务，有科学计算或并行计算经验者优先。 4. 了解 Linux 开发环境，能够完成代码运行、环境配置和基础实验部署。 5. 对以下方向具有研究兴趣：类脑计算；神经网络仿真；高性能计算；脑科学与人工智能交叉研究。 6. 能够阅读英文技术资料和科研论文，具备快速学习新领域知识、理解跨学科问题并推进实验任务的能力。 7. 具备以下经历者优先：高性能计算项目；GPU/CUDA/MPI 编程；数据可视化；神经科学数据分析；科研项目或开源项目经历。 8. 不要求已有神经科学背景，更关注编程基础、学习能力、探索兴趣以及跨学科研究能力。 9. 对“如何基于真实生物脑结构理解智能形成机制，并构建高保真脑网络仿真系统”这一方向具有持续兴趣，能够稳定投入科研时间。 10. 本科生补充要求：3–4年级学生优先。 11. 实习安排：线下科研实习；周期3–6个月；每周投入20–30小时。

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