Internship of AI Research at BOSCH Group

Responsibility: Engage in AI research including reading recent scientific papers in related fields, conducting experiments on GPU clusters and writing academic papers. Occasionally involve in combining AI technology with industrial scenario and developing AI applications.

This internship will mainly focus on either one of two fields in AI research: neural-symbolic reasoning and machine learning with uncertainty. Other AI research topics can also be considered based on mutual interest.

Qualification:

1.       PhD candidates in computer science or machine learning are preferred. Candidates of Bachelor in Science with excellent mathematical and programming skills are also welcome;

2.       Proficient in Python or at least one programming language, and preferably experienced in GPU computing;

3.       Strong background in theory of statistical machine learning and familiar with various architectures in deep learning;

4.       Capable of independent work, passionate in AI research and good communication skills.

About Us: Bosch Center for Artificial Intelligence (BCAI) was created in 2017 out of existing competence centers to deploy cutting-edge AI technologies across Bosch products and services creating solutions that are "Invented for life". Using data from Boschs various business divisions, we conduct cutting-edge research that focuses on safe, secure, robust, and explainable AI. We design and implement AI for smart, connected, and autonomous technologies across Bosch business sectors.

职责：从事人工智能研究，包括阅读相关领域的最新科学论文，进行GPU集群实验，撰写学术论文。偶尔参与将人工智能技术与工业场景相结合，开发人工智能应用程序。

本次实习将主要集中在人工智能研究的两个领域之一：神经符号推理和不确定性机器学习。其他人工智能研究课题也可以基于共同兴趣考虑。

资格：

1.计算机科学或机器学习专业的博士生优先。理学学士，数学和程序设计能力优秀者也受欢迎；

2.精通Python或至少一种编程语言，有GPU计算经验者优先；

3.具有较强的统计机器学习理论背景，熟悉深度学习的各种体系结构；

4.独立工作能力强，对人工智能研究有热情，沟通能力强。

关于我们：博世人工智能中心（BCAI）于2017年在现有能力中心的基础上成立，旨在跨博世产品和服务部署尖端人工智能技术，创造“为生活而发明”的解决方案。利用博世各个业务部门的数据，我们进行了前沿研究，重点是安全、可靠、健壮和可解释的人工智能。我们为博世各业务部门的智能、互联和自主技术设计和实施人工智能。