1 week ago

Hydrodynamic Acoustic Signature Engineer

Optics11

Amsterdam

1 week ago

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Optics11 is seeking a Hydrodynamic Acoustic Signature Engineer to join its Underwater Acoustics R&D team in Amsterdam. The role involves developing hydrodynamic, acoustic, and mechanical noise models to support acoustic intelligence capabilities. Candidates need an MSc degree with 1-3 years of experience in applied physics or related fields.

AIOn-siteFull-timeMid LevelPythonJulia

Hydrodynamic Acoustic Signature Engineer

Apply

AIOn-siteFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

3 years

Employment Type

Full-time

Experience Level

MSc with 1-3 years industry experience

Core Qualifications

Technical (Must-have)

PythonJuliaC++Hydrodynamic modelingAcoustic modelingPhysics-informed modelingApplied physicsMechanical engineeringMachine LearningData processing

Soft Skills

Analytical skillsProblem-solving skillsCan-do mentalityCommunication skillsTeamworkIndependence

Preferred Qualifications

Technical (Nice-to-have)

Fiber optic measurement principlesInterferometry

Key Responsibilities

•Model hydrodynamic and mechanical noise generation mechanisms (e.g., flow noise, cavitation, coupled structural vibration) of targets of interest.
•Translate physical phenomena into acoustic emission models for system performance modeling.
•Define parametrized models capturing variability across operating conditions (speed, sea state, depth, configuration).
•Establish realistic parameter brackets for target kinematic parameters and underwater acoustic signatures.
•Quantify uncertainties and sensitivities for robust system-level predictions.
•Generate synthetic or semi-synthetic datasets using physics-informed models.
•Define features derived from first principles for classification models.
•Support development of classification models leveraging physics-based principles.
•Support development of pure data-driven ML/AI models ensuring physically plausible patterns.
•Derive physics-based explanations from data-driven models to support stakeholders' decisions.

Hydrodynamic acoustic signatureUnderwater acousticsPhysics-informed modelingMachine LearningDeep-techAmsterdamOn-siteDefenseNATO clearanceFull-time

Key Responsibilities

•Model hydrodynamic and mechanical noise generation mechanisms (e.g., flow noise, cavitation, coupled structural vibration) of targets of interest.

•Translate physical phenomena into acoustic emission models for system performance modeling.

•Define parametrized models capturing variability across operating conditions (speed, sea state, depth, configuration).

•Establish realistic parameter brackets for target kinematic parameters and underwater acoustic signatures.

•Quantify uncertainties and sensitivities for robust system-level predictions.

•Generate synthetic or semi-synthetic datasets using physics-informed models.

•Define features derived from first principles for classification models.

•Support development of classification models leveraging physics-based principles.

•Support development of pure data-driven ML/AI models ensuring physically plausible patterns.

•Derive physics-based explanations from data-driven models to support stakeholders' decisions.