Underwater Acoustics Research Scientist
2 dagen geleden
Optics11 is seeking an Underwater Acoustics Research Scientist to join our team in Amsterdam. As a young and fast-growing scaleup company, we are looking for a motivated professional to carry out underwater acoustics research and development with an emphasis on Sonar, acoustic modelling, signal processing, and data analysis.
Key Responsibilities:
- Design, implement, and assess advanced underwater acoustic modelling techniques and algorithms for Sonar systems.
- Data analysis of our fiber optic acoustic and non-acoustic sensors.
- Developing data analysis algorithms including beamforming, event detection and data classification.
- Evaluating data from field trials and preparing reports for internal/external stakeholders.
- Diving into big data sets with focus on delivering maximum insights with optimal effort.
- Assisting embedded and software development team in implementations of selected solutions/algorithm.
What We Offer:
- Competitive salary.
- Innovative high-tech, international organization.
- The opportunity to work in a cross-functional and interdisciplinary environment.
- A lot to learn and to develop, we stimulate personal development.
- A flat organization, the less hierarchy, the better.
- Hybrid working model.
Qualifications:
- At least 3 years of applied research experience.
- Strong analytical and problem-solving skills.
- Excellent practical knowledge of mathematics, physics, data science techniques.
- Experience with hydrophone arrays and sonar data processing is a plus.
- Strong verbal and written communication skills in English (Dutch is an advantage).
- Ability to work independently as well as in a team with well-developed communication skills.
- Eligibility for NATO/Dutch security clearance.
Technical Skills:
- Experience with physical modelling, underwater acoustics propagation, wave propagation, signal processing, sonar and applied mathematics.
- Excellent programming skills (e.g. C++, Python, etc.) with readiness to deepen your Python proficiency.
- Good understanding of signal processing techniques and their implementations (e.g. denoising, filtering, Fourier/wavelet transform, PCA, classification algorithms).
- Knowledge of AI, machine learning techniques is a plus.
- Experience with CUDA, PyTorch, TensorFlow, LabView skills is a plus.
- Experience with fiber optic measurement principles and/or interferometry is a plus.
Security Clearance: You will need to undergo a security screening to work with clients in the defense and security sectors. For more information, please refer to details on security screening.
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