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Working location: Hanoi, VietNam. Preference will be given to Vietnamese candidates.
1. Job Description:
- Research and propose new algorithms to solve one of the following problems:
· Designing and developing algorithms to simulate intelligent virtual forces (AI CGF, Agent, Multi-Agent) in battlefield environments using machine learning and artificial intelligence techniques.
· Satellite image processing: handling large-scale data, dynamic environments, and limited labeled datasets; developing semi-supervised learning solutions.
· GNSS positioning and inertial navigation: sensor calibration (e.g., magnetometers) and magnetic field mapping methods that currently lack accuracy due to incompatibility with equipment and conditions in Vietnam.
· Research and deployment of image processing and AI algorithms for SAR radar systems on UAVs, aircraft, and satellites.
· Designing AI architectures to support navigation, autonomous guidance, and obstacle avoidance.
- Define technology directions and research cutting-edge technologies or new algorithmic approaches to support the corporation's projects; solve complex algorithm-related challenges across multiple domains within the organization.
2. Job Requirements:
- Master or PhD in Electronics / Information Technology / Artificial Intelligence or related fields.
- At least 7 years of continuous experience in algorithm research.
- Hands-on experience working with real-world systems, with a solid understanding of the relationship between theory and practice.
- Strong ability to read and comprehend existing algorithms from reference materials (including textbooks and scientific papers).
- Good programming skills to perform preliminary evaluation and validation of proposed algorithms.
- In-depth knowledge of relevant domains and strong problem-solving capabilities.
- Solid foundation in advanced mathematics and applied mathematics.
Preferred Candidates:
3. Compensation & Benefits
Salary
Benefits & Allowances
Special Package for Overseas Experts / Principal Engineers (Level II):
For Experts:
For Principal Engineers (Level II):
Job ID: 151310739