We are seeking an AI Researcher to join our team and contribute to cutting-edge developments in radar systems.

The researcher will conduct extensive analysis, comparing traditional signal processing methods with advanced neural network approaches, and play a key role in bridging research and real-world applications.

Key Responsibilities

• Develop and apply deep learning models and classical DSP algorithms to solve complex RF radar challenges.
• Focus on tasks such as detection, classification, and super-resolution DOA estimation.
• Conduct thorough comparative analyses between traditional signal processing techniques and neural network–based solutions.
• Collaborate with multidisciplinary teams to translate research into practical implementations.

Requirements

• MSc or PhD in Electrical Engineering, Computer Science, or related field.
• At least 3 years of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Strong background in digital signal processing (DSP) methods.
• Familiarity with RF radar systems and challenges (detection, classification, DOA).
• Proven ability to conduct analytical research and present results clearly.
• Strong programming skills (Python, MATLAB, or similar).
• Excellent problem-solving abilities and team collaboration skills.