Hybrid Algorithm Researcher
GBP 44K-61K (estimate) Mid-level Full Time
Tasks
- Apply machine learning for nonlinear dynamics
- Apply time and frequency domain methods
- Build tracking and state estimation algorithms
- Conduct anomaly detection and integrity monitoring
- Design and evaluate hybrid algorithms
- Develop hybrid algorithmic software
- Implement sensor modelling processing and data fusion
- Improve robustness for real world data
- Mentor junior engineers
- Support proposals bids and project delivery
- Translate research papers into practical solutions
Perks/Benefits
- 28 days annual leave
- Employee assistance program
- Gym membership discounts
- Life cover
- Pension scheme
- Private healthcare
Skills/Tech-stack
Anomaly Detection | C++ | Data Generation | Digital Sampling | EKF | Feature extraction | Filter Design | Fourier transform | Image Matching | Image Segmentation | Integrity monitoring | Lie Group UKF | MATLAB | Machine Learning | Mathematica | Physics-informed machine learning | Python | Sensor fusion | State Estimation | Synthetic Data Generation | Synthetic data | System modelling | Target Tracking | UKF
Education
Roles
Algorithm Researcher | Research Scientist | Researcher | Scientist
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