We at Siemens Healthineers™ are committed to helping healthcare providers globally to succeed in today’s dynamic environment. We are inspired to transform the way things are done – because we want what is best for our people, our customers and ultimately the health of mankind. While we are invested in engineering excellence – leading-edge medical technologies and services, we don’t stop there. We’re also deeply invested in our 46.000 people with the
hearts of pioneers and minds of engineers, highly committed and connected in this industry. And as we strive to shape the future of healthcare, our overall success will depend on our ability to continuously reinvent ourselves.

If you are ambitious and change makes you thrive, help transform Siemens Healthineers into a learning organization.
•研究，设计，实施人自然语言处理算法（包括相关的人工智能深度学习），用来解决医学影像报告分析中遇到的问题；
•进一步提高前沿算法；
•解决大规模实际问题，高速建模和可行性预研。

This position may suit you best, if building learning organizations is your expertise and you have extensive experience with Top Management Learning and Leadership Development.
•有很强的自主研究，C++, Python编程能力；
•有计算机视觉，机器学习经历，能够基本理解医学影像和报告；
•有人工智能平台编程经验，接触过工具Caffe, Tensorflow, PyTorch等；
•流利的中英文读写；
•很强的团队协作精神，能在快节奏中出成绩。
加分项：
•有人工智能相关算法大赛经验；
•最好有计算机科学，电子/计算机工程，生物医学工程，统计或应用数学的博士学位。如果是相关领域硕士，需要有3年工作经验，其中1年以上人工智能算法编程经验；
•编写过基于GPU的CovNet, GAN, Reinforcement Deep Learning，LSTM，Word2Vec, GloVe, Seq2Seq等模型；
•在相关国际期刊或会议上发表过论文。