ML & Signal Processing Intern

About Us

At Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.

About The Role

Context

Harmattan AI is developing a drone-integrated Synthetic Aperture RADAR (SAR) system designed for Intelligence, Surveillance, and Reconnaissance (ISR) applications. Traditional satellite-borne SAR images undergo post-processing with autofocus algorithms to enhance image quality. However, conventional algorithms are inadequate for UAV-borne systems due to trajectory instability, transforming the autofocus challenge into a high-dimensional optimization problem.

Your mission

The goal of this internship is to explore and apply machine learning-based optimization methods to address the autofocus problem in UAV-borne SAR imagery. You will have access to real radar data collected from our prototype system to validate your approaches.

Activities

• Literature review: Conduct a comprehensive review of existing autofocus methods for drone-borne SAR systems and identify candidate optimization techniques applicable to our problem.
• Algorithm Implementation: Develop and implement various optimization algorithms based on the literature review and project requirements.
• Performance evaluation: Assess and compare the performance of the implemented methods using both simulated data and real radar data collected from our prototype.
• Documentation: Document all work performed, including methodologies, results, and conclusions.
• Flight Tests Participation: Actively participate in flight test sessions to gather real-world data and validate the effectiveness of the developed algorithms in operational conditions.
  
  

Candidate Requirements

• Educational Background: A strong academic record in applied Mathematics (especially optimization and Machine Learning). Knowledge in Signal Processing and/or RADAR is a strong plus.
• Mindset: You are curious to learn, autonomous and able to take initiative.
• Communication: Excellent written and verbal communication. You are able to clearly articulate and present your work.
  
  

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.