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Algorithm and Signal Processing Engineer- Acoustic Applications at ELBIT SYSTEM OF AUSTRALIA PTY LTD

Holon, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Algorithm Development, Signal Processing, Machine Learning, Deep Learning, Statistical Signal Processing, Estimation Methods, MATLAB, Python, Software Implementation, Algorithm Optimization

Industry

Defense and Space Manufacturing

Description

Algorithm and Signal Processing Engineer- Acoustic Applications We are seeking a talented and motivated Algorithm and Signal Processing Engineer to join our team at the Holon site, within a business unit focused on defense-related acoustic applications :Position Overview The role involves the development of advanced algorithms for acoustic applications, utilizing cutting-edge techniques in signal processing and machine learningThe work is conducted in an applied research environment, with multidisciplinary exposure to the physical aspects of wave propagation, algorithmic design, and engineering challenges in acoustic sensing :Key Responsibilities Development of advanced algorithms for acoustic signal processingApplication of estimation methods, statistical signal processing, and machine learning/deep learning techniquesCollaboration in a multidisciplinary research setting, integrating physics, engineering, and algorithmic expertise :Requirements Master’s degree or higher in Electrical Engineering, Mathematics, Physics or Computer ScienceMinimum 2 years of experience in developing algorithms for physical signal processing using classical and ML/DL-based techniquesHands-on experience with MATLAB and PythonProven experience in software implementation of algorithms- mandatoryExperience in algorithmic process optimization

Responsibilities

The role involves the development of advanced algorithms for acoustic signal processing and the application of various estimation and statistical methods. Collaboration in a multidisciplinary research setting is also a key aspect of the position.