PpWe are looking for a highly motivated AI Scientist to join an innovative research project focused on physics-informed machine learning for underwater acoustic imaging. You will contribute to the development of next‑generation AI models for sonar signal analysis, combining state‑of‑the‑art machine learning with deep expertise in signal processing and physical modelling. /p pThe project focuses on automatically detecting and classifying mine‑like objects on the seafloor using high‑resolution Synthetic Aperture Sonar (SAS) imagery. The goal is to support mine countermeasure operations by reducing operator workload and improving detection reliability in complex and noisy underwater environments. The work includes collaboration with research institutions and focuses on bridging applied research and operational deployment. /p h3Your role /h3 ul liDesign and implement advanced signal and image processing algorithms for sonar data /li liDevelop, train, and optimize machine learning models for detection and classification tasks /li liWork with Synthetic Aperture Sonar (SAS) datasets, including real and synthetic data /li liEvaluate model performance under realistic, noisy, and constrained operational conditions /li liContribute to experimental validation, benchmarking, and performance analysis /li liCollaborate closely with domain experts and academic partners /li /ul h3Your profile /h3 h3Required Qualifications /h3 ul liMSc or PhD in Applied Mathematics, Physics, Engineering, or a related field /li liStrong interest in AI and signal processing (e.g., time‑frequency analysis, filtering, spectral methods) /li liExperience with machine learning frameworks (preferably PyTorch) and strong Python programming skills /li liAnalytical mindset with a research‑oriented approach /li liMotivation to develop robust systems used in real‑world operational environments /li /ul h3Nice to have /h3 ul liExperience with acoustic signal processing or coherent sensing systems (e.g., radar, sonar, medical imaging) /li liKnowledge of physics‑informed neural networks or complex‑valued neural networks /li liFamiliarity with explainable AI techniques /li /ul h3What We Offer /h3 ul liCompetitive salary /li liElectric company car with charging card /li liGroup insurance /li liHospitalization insurance with outpatient medical and dental coverage /li liMeal vouchers /liliMobile phone subscription /li li12 additional RTT days (full‑time employment) /li li40 remote working days per year /li liModern and comfortable working environment /li liTraining and career development opportunities /li liA stable employer with long‑term vision /li /ul /p #J-18808-Ljbffr