Underwater Acoustic Signal Processing Engineer

Optics11 Life

Amsterdam

On-site

EUR 55,000 - 75,000

Full time

14 days+

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Job summary

Optics11 Life is expanding its Underwater Acoustics R&D team with an Acoustic Signal Processing Engineer to tackle challenging problems at the intersection of signal processing, applied mathematics, physics, and software engineering.

As a member of our team you will develop sonar processing algorithms, models, and software for next-generation fiber-optic sensing systems, collaborating with experts across disciplines to operate in demanding environments and push the boundaries of underwater

Qualifications

MSc degree (or equivalent) in Electrical Engineering, Applied Mathematics, Physics, Computer Science, Signal Processing, Statistics, Aerospace Engineering, Mechanical Engineering, or another quantitative discipline.
1-3 years of experience in research or development, preferably with sensing systems, applied statistics, or wave-related phenomena or a PhD in a relevant discipline.
Strong background in physical modelling, underwater acoustics, wave propagation, signal processing, sonar, applied mathematics, or equivalent.
Good understanding of digital signal processing, statistical signal processing, estimation theory, numerical methods, scientific computing; excellent programming skills (Python, Julia, C++, etc.) with willingness to deepen proficiency.
Strong analytical and problem-solving skills and a can-do attitude with willingness to work hands-on.
Excellent verbal and written communication skills in English; ability to work independently and in teams.

Responsibilities

Execute acoustic modelling and signal processing tasks: implement and improve algorithms and mathematical models for underwater acoustic sensing systems.
Analyze and interpret experimental data: process datasets from laboratory and field trials to extract design insights.
Develop and test algorithms: contribute to beamforming, event detection, filtering, and data classification under guidance from senior engineers.
Document and communicate progress: maintain clear documentation of methods, results, and conclusions; communicate challenges and solutions to the team.
Collaborate across functions: work with software, embedded, and hardware engineers to ensure data flow and system testing.
Improve team workflows and tools: identify opportunities to improve data handling and processing pipelines for efficiency.
Share knowledge and provide feedback: contribute to internal discussions and present learnings.