Jobs
We are seeking a highly motivated Research Scientist (Smart Sensing & Prediction) to drive innovation at the intersection of advanced sensing, AI and system integration. This role combines deep technical expertise with strong external collaboration skills, aiming to accelerate research outcomes through partnerships with universities, start-ups, and research institutes. 我们正在寻找一位充满热情的 研究科学家(智能传感器),在先进传感、人工智能与系统集成的交叉领域推动创新。该职位不仅需要扎实的技术研究能力,还需要具备优秀的外部合作能力,能够通过与高校、初创企业及研究机构的合作,加速研发成果的转化与落地。
The ideal candidate will not only push the frontier of smart sensing technologies but also act as a bridge between academia, early-stage ventures in China, and our internal R&D teams. 理想的候选人将既能探索智能传感技术前沿,又能作为公司与学术界和初创企业之间的桥梁。
Key Responsibilities:
- Conduct applied research and development on sensing, prediction, and intelligent monitoring solutions.
开展感知、预测及智能监测相关的应用研究与技术开发。
- Develop signal processing, modeling, and algorithmic solutions for environment- and sensor-related applications.
面向环境与传感相关应用,开发信号处理、建模与算法方案。
- Support projects related to environmental risk assessment, condition monitoring, and classification tasks in indoor scenarios.
支持室内场景下与环境风险评估、状态监测及分类任务相关的项目开发。
- Explore the use of multi-source sensing information, including environmental and wireless signals, to improve system performance and robustness.
探索利用多源感知信息(包括环境信号和无线信号)提升系统性能与鲁棒性。
- Contribute to the development of prediction and classification functions for practical sensing applications, including tasks such as risk detection and presence/empty recognition.
参与面向实际感知应用的预测与分类功能开发,包括风险检测、presence/empty 识别等任务。
- Prototype and evaluate sensing solutions in relevant application scenarios.
在相关应用场景中完成感知方案的原型开发与验证。
- Design and implement embedded solutions for data acquisition, processing, and deployment of algorithmic functions.
设计并实现用于数据采集、处理及算法功能部署的嵌入式解决方案。
- Collaborate with cross-functional teams to translate technical concepts into practical solutions and product features.
与跨职能团队协作,将技术概念转化为实 际解决方案和产品功能。
- Support data collection, testing, performance evaluation, and continuous improvement of algorithms and prototypes.
支持数据采集、测试验证、性能评估以及算法和原型的持续优化。
- Contribute to technical documentation, internal knowledge sharing, and project communication.
参与技术文档撰写、内部知识分享及项目沟通。
- Master’s or PhD degree in Electrical Engineering, Computer Science, Signal Processing, Automation, Wireless Communications, or related fields.
拥有电子工程、计算机科学、信号处理、自动化、无线通信或相关领域的硕士或博士学位。
- Experience in one or more of the following areas: sensing systems, algorithm development, signal processing, predictive modeling, embedded development, or intelligent connected systems.
在以下一个或多个方向具备相关经验:感知系统、算法开发、信号处理、预测建模、嵌入式开发或智能互联系统。
- Familiarity with sensor-based data analysis and model development.
熟悉基于传感数据的数据分析与模型开发。
- Understanding of how multiple data sources can be incorporated into prediction or monitoring systems.
理解如何将多源数据纳入预测或监测系统。
- Strong programming skills and experience with common tools for data analysis and algorithm development.
具备扎实的编程能力,并熟悉常用的数据分析与算法开发工具。
- Hands-on experience in embedded software or system development is preferred.
具备嵌入式软件或系统开发经验者优先。
- Ability to work independently on technical problem solving and collaborate effectively across teams.
具备独立解决技术问题的能力,并能够高效开展跨 团队协作。
- Good communication skills in English, both oral and written.
具备良好的英文口头及书面沟通能力。
博世集团网上招聘数据处理同意声明
个人信息及目的:你的如下个人信息将被处理并用于招聘:姓名、电子邮箱、电话号码、所在地区、经验和教育信息、简历等应聘者自主提交的附件信息、证件号、职位、部门、计划入职日期、劳动合同持续时间、工作地点、月薪、年薪、浮动奖金比例、餐贴、车贴。 博世将依据相关的数据保护法规,在全球范围内对您的数据进行保密。招聘流程中,您的个人信息只有在必须时才会被提供给博世以外的第三方机构(如代理机构)。博世精心挑选了第三方机构并与之签订了保密合同。博世采取了种种保密措施以保护您的数据,确保其不会遭受操纵、丢失、破坏、未经授权的访问或泄漏。我们的安全措施将随着新技术的应用而不断升级。您的本地浏览器和我们的人才招募系统之间的数据传输通过https加密。 特定职位申请:申请博世集团的职位就意味着您将自己的个人信息提供给博世集团旗下相应的法律实体(具体请见博世集团法人清单)。请注意,若有任何文件或资料变更,请在所有申请书里一并变更。人力资源部门的员工可能与您联系,询问您是否同意将您的求职申请转向博世集团内部另一合适职位。如果您申请了特定职位,那么只有在您同意的情况下,博世才会将您的求职申请转向另一职位。 您可以随时撤回求职申请,博世将根据相关法律删除您的个人信息。与您的申请相关的所有资料将被保留至24个月。您的权利:若您希望停止向博世提供您的个人信息,可联系我们或通过博世网上招聘数据隐私声明中的BKMS系统提出申请。您可以在Smart Recruiters平台查阅和修改您的简历。您对您的个人信息的处理享有知情权、决定权,您有权限制或者拒绝我们对您的个人信息进行处理。您还可以更正、补充您的个人信息。 跨境传输:为了实现前述目的,我们所收集的您的个人信息可能会在多个国家或地区间进行跨境转移,例如德国、新加坡。 德国:罗伯特-博世有限公司(德国格宁根市罗伯特博世广场1号(Robert-Bosch-Platz 1, Gerlingen-Schillerhohe, Germany,邮编:70839),用于集团统一招聘管理(博世中国与数据接收方均基于该目的开展数据出境活动; 英国:Smart Recruiters(英国伯克郡温莎亚瑟路圣斯蒂芬大厦 邮政区码: SL4 1RU),用于招聘、后期交流联系及分享职位/活动信息、潜在人才社区邀请。 您可通过上述联系方式依法向境外接收方行使您在个人信息处理活动中的权利。 存储您的个人信息:我们将仅在为实现目的必要的范围内以及法律法规要求的时间内保留您的个人信息。 雇佣:被雇佣后,您提供的数据将被从当前招聘系统转移至职位所属公司的人力资源管理系统。联系方式: 请通过访问博世中国官方主页:博世在中国>加入博世>工作机会,在网上招聘数据隐私声明中“9.联系方式” 博世集团法人清单: 请通过访问博世中国官方主页:博世在中国>加入博世>工作机会,在网上招聘数据隐私声明中获取现阶段使用网上招聘系统的博世集团法人(第五页)
该职位内部推荐奖金为人民币10,000元整(仅限博世内部员工申请),具体请参见《博世中国内部推荐政策》
Internal Referral bonus of this vacancy: RMB 10,000 (Valid only for Bosch associates). For the detailed regulation, please refer to Bosch China Internal Referral Policy.
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
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About Bosch

Bosch
PublicRobert Bosch GmbH is a multinational engineering and technology company that develops automotive components, industrial technology, consumer goods, and energy solutions. The company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and building technologies.
10,001+
Employees
Gerlingen
Headquarters
Reviews
3.7
10 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
4.1
Career
4.3
Management
2.9
72%
Recommend to a Friend
Pros
Great people and team environment
Career development and learning opportunities
Good compensation and benefits
Cons
Poor work-life balance expectations
Management issues and favoritism
Lack of clear policies
Salary Ranges
711 data points
Senior/L5
Senior/L5 · Business Development Manager - Press
1 reports
$175,455
total / year
Base
$152,570
Stock
-
Bonus
-
$175,455
$175,455
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
71%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
HR Round/Salary Negotiation
6
Offer Extended
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Project-based Assessment
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