Data Scientist (Applied Mathematician in Signal Processing & Sensor Fusion)

About Us

We are an international deep-tech company developing advanced defense technologies that play a vital role in strengthening the capabilities of the Armed Forces of Ukraine. Our focus areas include secure communications, GNSS resilience, radar systems, and electronic warfare protection. With a fast-paced R&D culture and mission-critical projects, we offer a unique opportunity to apply your expertise to technologies that have direct real-world impact on national defense and battlefield innovation.

We are looking for a talented and versatile Applied Mathematician to support cutting-edge research and development in signal processing, sensor fusion, and adaptive algorithms for navigation, tracking, and communication systems. This role combines deep theoretical insight with practical implementation in real-time systems.

Key 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

• 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