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Deep Learning Researcher
2 weeks ago
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.