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.
? 設計新型人工智能算法數(shù)學模型，用來解決醫(yī)學影像和報告分析中遇到的問題；
? 攻關前沿數(shù)學問題
? 數(shù)學問題的咨詢顧問

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.
? 有超強的數(shù)學獨立思考和研究能力；
? 在數(shù)學建模、統(tǒng)計，理論和應用層面都要有自己獨到的見解
? 有用Python 解決數(shù)學編程問題的經(jīng)驗
? 對人工智能、深度學習/機器學習、計算機視覺/圖形學、自然語言處理有一定的認識；
? 流利的中英文讀寫；
? 很強的團隊協(xié)作精神，能在快節(jié)奏中出成績。
加分項：
? 在數(shù)學領域相關會議和期刊發(fā)表過論文；
? 參加過數(shù)學建模或算法大賽，成績優(yōu)異；
? 最好有統(tǒng)計或應用數(shù)學，或其他相關數(shù)學領域的博士學位。如果是相關領域碩士，需要有3年工作經(jīng)驗，其中2年以上科研經(jīng)驗；
? 對模型加速的硬件和軟件實現(xiàn)有獨到的想法。

What else do I need to know?
西門子醫(yī)療系統(tǒng)人工智能團隊的總部在美國普林斯頓，每年在MICCAI, CVPR等相關學術頂尖會議上發(fā)表很多文章，在醫(yī)學影像分析領域一直是領跑的佼佼者。