Primary Responsibilities: - Design, and implement algorithms in Deep Learning for Medical Image Analysis problems - Work on large-scale data sets and real-world problems - Close collaboration with Siemens Healthineers Business lines to understand requirements and deliver successful AI solutions - Data analysis of clinical studies with clinical partners 主要职责： • 设计并实现用于医学图像分析问题的深度学习算法 • 处理大规模数据集和实际的问题 • 与西门子医疗业务线密切合作，了解需求并提供成功的AI解决方案 与临床合作伙伴进行临床研究的数据分析 Qualifications: - Ph.D. proffered in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math. Alternative MSc. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math with at least 3 years experience - 2 years industry experience in building medical imaging solutions. - Strong background in Deep Learning and familiar with TensorFlow, PyTorch and etc. - Proficiency in Python and ability to quickly prototype in C is desired - Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred - Experience in medical image and medical big data preferred - Outstanding written and verbal communication skills in English are required - Excellent interpersonal skills - Strong collaboration skills and ability to thrive in a fast-paced environment 要求： • 计算机科学、电气工程、统计学或应用数学等工程或科学领域的博士学位。其他的理学硕士，在工程或科学领域，如计算机科学、电气工程、统计学或应用数学，至少3年工作经验。 • 2年以上解决医疗影像问题的行业经验。 • 深厚的深度学习背景，熟悉TensorFlow、PyTorch等。 • 精通Python，能够在C 中快速实现的能力 • 有计算机视觉、机器学习和图像理解方面的研究生研究和实习经验者优先 • 有医学影像和医学大数据经验者优先 • 需要出色的英语书面和口头沟通技能 • 优秀的人际交往能力 • 强大的协作技能和在快节奏环境中茁壮成长的能力