• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models
• Apply deep learning algorithms to train neural networks for object detection and classification • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization
• Apply signal pre-processing techniques on SAR data
• Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data
• Develop appropriate objective functions and sound performance assessment plans
• Present work at meetings and conferences
• Develop and deliver production-quality code (mainly Python)