PhD in Artificial Intelligence Algorithms

PhD in Artificial Intelligence Algorithms

Key Responsibilities:

1. Data Fusion and Modeling

(1) Integrate drone flight data with observatory meteorological data

(2) Design a Low Altitude Economy Index calculation model (such as Safety Index, Airspace Congestion Index, Meteorological Risk Index)

2. Algorithm Development

(1) Train an airspace dynamic segmentation model based on historical data

(2) Develop an AI visual model tailored for low-altitude environments.

(3) Build 3D maps and heatmaps.

3. System Optimization:

(1) Establish a flight accident probability model.
(2) Design a premium fluctuation algorithm.

4. Collaboration & Dissemination:

• Publish a SCI/EI paper related to Low-altitude economics data analysis and risk assessment
• Collaborate with engineers to translate research into practical prototypes.

5.Other duties as assigned by the department manager.

Qualifications:

1.        Required:

• A PhD(completed or near completion) in Computer Science, Artificial Intelligence, Robotics, or related fields.

• Strong foundation in Deep Learning.
• Strong foundation in 3D Mapping and GIS techniques
• Proficiency in Python, PyTorch/TensorFlow, and simulation tools
• A track record of publications in AI/ML fields.

2.        Preferred:

• Strong computational background with extensive production-level programming and scripting experience.
• Solid experience in machine learning or deep learning.
• 1+ years of software engineering and AI/ML experience is preferred.
• Practical experience in front-end architecture such as vue.js or React.js.
• Practical experience with Python or C++.
• Experience building and/or delivering prototypes on API platforms.
• Familiarity with container technologies (e.g., Docker, Kubernetes), knowledge of MLOps and related technologies/methods.
• Experience supporting machine learning and AI applications with cloud technologies, understanding of DevOps tools.
• Hands-on experience with CUDA and CANN is a plus.