About the Role

The role involves designing filtering and sensor fusion algorithms, supporting SDR development, and collaborating with engineers to integrate solutions into FPGA and embedded platforms

Responsibilities

• Develop mathematical models and simulations for advanced DSP systems
• Analyze academic literature and propose novel solutions based on recent research
• Design and implement Kalman filters, Bayesian filtering, and sensor fusion algorithms
• Support software-defined radio (SDR) development using USRP platforms
• Work with engineers to integrate mathematical models into FPGA or embedded platforms
• Apply computer vision methods for real-time object detection and tracking
• Contribute to technical documentation, papers, and proposals

Qualifications

• Advanced knowledge of Kalman filtering, Bayesian methods, and stochastic modeling
• Experience with DSP algorithm development and mathematical modeling
• Familiarity with sensor fusion, INS/GNSS integration, and SLAM is a plus
• Proficiency in MATLAB, Python, or C++ for algorithm prototyping
• Experience with SDR systems and platforms such as USRP/GNU Radio
• Understanding of computer vision pipelines for real-time systems
• Strong analytical and research skills
• Experience managing or coordinating research tasks or projects
• Degree in Applied Mathematics, Physics, Electrical Engineering, or a related field (PhD preferred)

Preferred Skills

• Background in defense, autonomous systems, or navigation technologies
• Experience publishing in peer-reviewed journals or contributing to patents
• Ability to work independently on research-heavy tasks and collaborate in multidisciplinary teams