负责 CT 核心重建算法（校正，图像基础重建、迭代重建，深度学习等）的研发、优化与验证，提升图像质量。 CT 图像预处理、去噪、伪影校正（运动 / 金属伪影等）、低剂量算法研发及剂量优化相关工作。 参与 CT 系统物理特性分析（探测器响应、X 射线衰减模型），结合算法需求提供技术支撑。 完成算法原型开发（Matlab 为主）、仿真测试、工程化落地对接，撰写技术文档与测试报告。 跨部门协作（对接硬件、临床、产品团队），推进算法临床验证与产品化迭代。 跟踪 CT 算法领域前沿技术（如 DLR、AI 辅助诊断），引入新技术优化现有产品。
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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- Discover our rich and exciting history .
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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .
