Signal Analysis Researcher

Job Description

About the Role:
We are seeking a skilled and motivated Signal Analysis Researcher to join our advanced research and development team. In this role, you will explore, analyze, and model real-world signals—such as audio, radio frequency (RF), radar, biomedical, or sensor data—to extract meaningful insights, develop algorithms, and contribute to the innovation of signal-based systems across industries.

You will work with interdisciplinary teams to push the boundaries of applied signal processing, machine learning, and data fusion techniques.

Key Responsibilities:

• Design and implement signal analysis algorithms for detection, classification, anomaly detection, or compression
• Work with time-series, RF, acoustic, seismic, EEG/ECG, or other structured waveform datasets
• Apply statistical and spectral methods (e.g., FFT, wavelets, filtering, pattern recognition) to extract signal features
• Collaborate with data scientists, ML engineers, and domain experts to develop hybrid signal-AI solutions
• Contribute to the development of robust, real-time signal processing pipelines
• Publish research findings, create technical documentation, and participate in patent filings where applicable
• Support software integration, simulation, and performance evaluation in lab or field environments

Required Qualifications:

• Master’s or PhD in Electrical Engineering, Physics, Applied Mathematics, or related discipline
• 3–8 years of hands-on experience in signal processing or analysis
• Proficiency in MATLAB, Python (NumPy/SciPy), or C/C++ for algorithm development
• Strong understanding of signal theory: time/frequency domain analysis, filters, transforms, stochastic processes
• Experience working with data from sensors, RF systems, audio/voice, imaging, or biomedical devices
• Ability to clearly communicate findings through technical reports and presentations

Preferred Qualifications:

• Experience with AI/ML integration (e.g., using scikit-learn, PyTorch, TensorFlow) in signal workflows
• Familiarity with embedded or real-time systems (e.g., FPGA, DSP chips, microcontrollers)
• Domain expertise in radar/sonar, speech/audio analytics, IoT sensing, or biosignals
• Prior experience in defense, healthcare, telecommunications, or aerospace industries

What We Offer:

• A collaborative, research-driven environment at the intersection of engineering and AI
• Opportunity to work on cutting-edge signal analysis applications with real-world impact
• Competitive salary, performance-based bonuses, and professional development support
• Flexible work arrangements and modern toolkits
• Opportunities for publication, patent support, and conference participation

How to Apply:
Please send your resume, portfolio (if applicable), and a brief research statement to: signal-research@yourcompany.com
Subject: Application – Signal Analysis Researcher – [Your Name]
Applications reviewed on a rolling basis