1.Medical scenario algorithm R&D: Design and optimize deep learning/machine learning algorithms for medical data such as medical images and electronic medical records to complete tasks like embryo assessment, risk prediction, and medication recommendation. Develop auxiliary diagnosis/decision-support models in combination with clinical guidelines and doctor workflows to improve diagnosis efficiency and accuracy.
2.Data mining and processing: Build medical data cleaning, annotation, enhancement, and standardization processes. Mine associated features in multi - modal medical data and design fusion models to improve generalization ability.
3.Model optimization and deployment: Collaborate with the software engineering team to complete the integration and verification of algorithms in hospital systems, cloud platforms, or mobile terminals.
4.Clinical cooperation and scientific research: Collaborate closely with doctors and research institutions, participate in model interpretability and robustness verification. Write patents and Chinese/English papers based on research results, and participate in the formulation, application, and execution of relevant scientific research projects.

1.Master's degree or above in computer science, artificial intelligence, computational biology, biomedical engineering or related majors; relevant work experience is preferred.
2.Familiar with machine learning and deep learning algorithms, with over two years of algorithm development practice experience; experience in medical scenario algorithms is preferred.
3.Familiar with the characteristics of medical data, understand clinical terms, and be aware of the implementation process of medical AI technologies.
4.Be passionate about medical scenarios, and possess good English reading and writing skills, literature and patent research abilities, experimental design and data analysis capabilities.

1.Design a low-altitude flight data middle-platform system to integrate airspace, meteorological, and aircraft operation data.
2.Implement spatio-temporal data management, real-time processing, and visual display.
3.Build an intelligent analysis module to support flight safety early warning and operational efficiency evaluation.
4.Develop a Web-based monitoring and management platform.
5.Other tasks assigned by superiors.

1.Bachelor's degree or above in computer science, data science, GIS or related majors.
2.Proficient in JavaScript/Python/SQL, and have experience in Web platform or big data platform development.
3.Familiar with data platform components such as PostGIS/ElasticSearch/Kafka/Hadoop.
4.Experience with visualization tools such as Cesium/Mapbox/D3.js is preferred.
5.Have strong communication and teamwork skills, and good system architecture awareness.
6.Be able to work effectively in a highly collaborative team, be rigorous and responsible.

1.Develop multi-modal sensing systems (vision, radar, millimeter-wave) and achieve sensor fusion.
2.Research and implement deep learning/reinforcement learning-based autonomous decision-making algorithms for low-altitude unmanned systems.
3.Build a simulation test environment for intelligent unmanned systems.
4.Optimize task scheduling and trajectory generation strategies.
5.Other tasks assigned by superiors.

1.Master's degree or above in artificial intelligence, control engineering, computer science or related majors.
2.Familiar with PyTorch/TensorFlow, and have experience in reinforcement learning or imitation learning projects.
3.Proficient in visual modules such as SLAM/object detection/multi-object tracking.
4.Experience with simulation platforms such as DroneSim/UnrealEngine/CARLA is preferred.
5.Have strong problem-solving and technical implementation capabilities.
6.Be able to work effectively in a highly collaborative team, be rigorous and responsible.

1.Design and develop the architecture of a low - altitude airspace management and air - ground collaborative system.
2.Build a simulation test platform to verify traffic flow scheduling and congestion control algorithms.
3.Develop a low - altitude aircraft path planning and obstacle avoidance module.
4.Integrate multi - source data such as ADS - B/UAV identification for trajectory fusion.
5.Other tasks assigned by superiors.

1.Master's degree or above, majors in aerospace, automation, transportation engineering are preferred.
2.Proficient in Python/C++, and have ROS/UAV communication protocol development experience.
3.Familiar with trajectory planning (A*/RRT) and traffic scheduling algorithms.
4.Familiarity with traffic simulation platforms such as SUMO or POLARIS is preferred.
5.Have strong communication and teamwork skills, as well as good driving and execution capabilities.
6.Be able to work effectively in a highly collaborative team, be rigorous and responsible.

1.Research and develop multi - modal sensor fusion algorithms (LiDAR/vision/millimeter - wave radar) to achieve dynamic environmental modeling and target behavior prediction.
2.Optimize the real - time inference performance of deep learning models (object detection/semantic segmentation) on embedded platforms.
3.Research and develop a scene semantic understanding framework.
4.Optimize model quantization and pruning schemes.
5.Build a large - scale simulation test set.
6.Other tasks assigned by superiors.

1.Master's degree or above in computer vision, robot perception, with over 3 years of industrial - level development experience.
2.Proficient in OpenCV/PCL libraries, and master C++ memory management and multi - thread optimization techniques.
3.Familiar with sensor calibration tools, such as Kalibr/Apollo Sensor Calibration.
4.Have CUDA - accelerated development experience, and be familiar with TensorRT/TVM deployment processes.
5.Those with mass - production ADAS perception module development experience are preferred.
6.Have an extreme optimization awareness.
7.Possess good communication and teamwork skills, as well as strong driving and execution capabilities.
8.Be able to work effectively in a highly collaborative team, be rigorous and responsible.

1.Design the security architecture for Cyber - Physical Systems (CPS) to defend against cyber attacks and hardware intrusions.
2.Develop functional safety compliance mechanisms to achieve self - healing in case of failures and redundant control.
3.Develop a security development lifecycle management process based on ASPICE.
4.Build an Intrusion Detection System (IDS).
5.Lead security audits.
6.Other tasks assigned by superiors.

1.Bachelor's degree or above in network security, electronic information engineering or related majors.
2.Familiar with the ADAS security development lifecycle.
3.With over 3 years of industrial control security experience.
4.Master hardware security technologies.
5.Possess good communication and teamwork skills, as well as strong driving and execution capabilities.
6.Be able to work effectively in a highly collaborative team, be rigorous and responsible.

1.Design high - precision servo control algorithms, such as adaptive sliding mode control and model predictive control.
2.Develop a distributed real - time control system based on EtherCAT.
3.Implement motor fault diagnosis and fault - tolerant control.
4.Lead the construction of a Hardware - in - the - Loop (HIL) test bench.
5.Write control modules compliant with the AUTOSAR standard.
6.Other tasks assigned by superiors.

1.Bachelor's degree or above in automation, mechatronics, embedded systems or related majors.
2.With over 5 years of motion control development experience.
3.Master Matlab/Simscape multi - body dynamics modeling.
4.Proficient in C/C++ embedded development, and proficient in FreeRTOS/VxWorks development.
5.Familiarity with CAN/EtherCAT communication protocols and the Vector toolchain is preferred.
6.Good at cross - hardware and software collaborative debugging.
7.Possess good communication and teamwork skills, as well as strong driving and execution capabilities.
8.Be able to work effectively in a highly collaborative team, be rigorous and responsible.

With any of the following research directions:
1.Application of AI in the field of reproduction.
2. Low-altitude cross-domain unmanned systems.
3. Adaptive control, intelligent systems and artificial intelligence.
4. Rehabilitation training robots.
5. Surgical robots.
6. Humanoid robots.
7. Intelligent transportation.
8. Intelligent medical diagnosis and treatment with embodied intelligence as the core.
9. Multimodal foundation models for medical artificial intelligence.
10. Research on trusted autonomous driving strategy learning in complex urban environments.

1. Professional Background:
- Possess a doctoral degree in related majors such as biomedical engineering, artificial intelligence, automation, machinery, electronics, computer science, and communications.
- Interdisciplinary background applicants are warmly welcomed, especially candidates with a solid technical foundation and a desire to develop in interdisciplinary fields.

2. Research Goals:
- Aim to solve practical technical problems of enterprises and commit to promoting the industrial application of scientific research achievements; be passionate about transforming innovative technologies into market products and willing to participate in the complete process from conceptual design to commercial implementation;
- Have a keen insight into enterprise needs and technical pain points, and be able to combine theory and practice to propose practical solutions.

3. Ability Requirements:
- Have strong scientific research and innovation capabilities, able to carry out independent research and put forward innovative solutions;
- Possess excellent team spirit, able to communicate and cooperate efficiently in interdisciplinary teams;
- Have the ability to implement technologies, able to transform research results into actual products or solutions to meet the real needs of enterprises.

4. Preferred Qualifications:
- Have relevant industry experience and have participated in enterprise cooperation projects, technical development or industrialization-related work;
- Focus on practical application scenarios in academic research, have published high-level papers related to enterprise needs or have patent experience;
- Candidates with innovation and entrepreneurship experience or excellent performance in well-known technological innovation competitions are preferred.