Harmattan AI
Early Talent(m/w/x)
Full-timeInternshipOn-site
Lausanne
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HAHarmattan AI
Machine Learning and State Estimation Intern(m/w/x)
Lausanne
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Researching and implementing ML algorithms for state estimation and sensor fusion in autonomous defense systems, using simulated and real flight data. Strong academic record in applied Mathematics with ML focus required; sensor fusion knowledge a strong plus. Direct work on real-world flight data for defense systems.
Requirements
- Strong academic record in applied Mathematics (machine learning)
- Knowledge of sensor fusion/state estimation (strong plus)
- Strong understanding of ML fundamentals
- Experience with State Estimation, drones, or Control Theory (major plus)
- Curiosity to learn
- Autonomy
- Ability to take initiative
Tasks
- Research ML methods for state estimation and sensor fusion
- Develop and implement algorithms from literature review
- Develop and implement algorithms from project requirements
- Implement algorithms using simulated flight data
- Implement algorithms using real-world flight data
- Assess algorithm performance against classical baselines
- Assess algorithm computational overhead against classical baselines
- Document methodologies, results, and conclusions
- Participate in flight test sessions
- Gather real-world data during flight tests
- Validate algorithm effectiveness in operational conditions
- Contribute to real-time deployment
Education
- Bachelor's degree
Languages
- English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Harmattan AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HAHarmattan AI
Machine Learning and State Estimation Intern(m/w/x)
Lausanne
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Researching and implementing ML algorithms for state estimation and sensor fusion in autonomous defense systems, using simulated and real flight data. Strong academic record in applied Mathematics with ML focus required; sensor fusion knowledge a strong plus. Direct work on real-world flight data for defense systems.
Requirements
- Strong academic record in applied Mathematics (machine learning)
- Knowledge of sensor fusion/state estimation (strong plus)
- Strong understanding of ML fundamentals
- Experience with State Estimation, drones, or Control Theory (major plus)
- Curiosity to learn
- Autonomy
- Ability to take initiative
Tasks
- Research ML methods for state estimation and sensor fusion
- Develop and implement algorithms from literature review
- Develop and implement algorithms from project requirements
- Implement algorithms using simulated flight data
- Implement algorithms using real-world flight data
- Assess algorithm performance against classical baselines
- Assess algorithm computational overhead against classical baselines
- Document methodologies, results, and conclusions
- Participate in flight test sessions
- Gather real-world data during flight tests
- Validate algorithm effectiveness in operational conditions
- Contribute to real-time deployment
Education
- Bachelor's degree
Languages
- English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Harmattan AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Harmattan AI
Industry
Aerospace
Description
The company builds autonomous and scalable defense systems driven by engineering developments in robotics and AI.
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