PhD Intern Signal Processing, Ultrasound simulation and experimentation
Share
Job Location:
Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
We are seeking a highly motivated engineer with strong expertise in signal processing ultrasound/wave propagation and wavematerial interaction to develop and deploy advanced data analysis solutions for complex experimental datasets. The ideal candidate combines deep theoretical knowledge with hands-on experimental skills to translate physics-based insights into robust algorithms and tools.Job Description
Established in 2000 the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents pioneering breakthroughs in engine technologies advanced materials and additive manufacturing.
Essential Responsibilities
- Design and develop signal processing algorithmsfor ultrasound and guided-wave applications including filtering deconvolution timefrequency analysis beamforming and dispersion compensation.
- Model wave propagation and wavematerial interactionsin metals composites and advanced materials; incorporate scattering attenuation mode conversion and anisotropy into analysis workflows.
- Build advanced data analysis pipelinesusing statistical methods and machine learning for feature extraction anomaly detection classification and uncertainty quantification; deliver production-quality code and documentation.
- Plan and execute experiments including sensor/fixture selection calibration data acquisition and validation; develop test plans safety protocols and repeatable measurement procedures.
- Analyze large experimental datasets perform data cleaning signal conditioning and parameter estimation; generate clear visualizations and technical reports with quantitative conclusions.
Ideal Candidate:
Should have experience in signal processing: sampling theory spectral analysis digital filtering timefrequency methods beamforming array processing.
Required Qualifications
- MS or PhD in Electrical Engineering Mechanical Engineering Applied Physics Acoustics Materials Science or related field.
- Strong foundation insignal processing: sampling theory spectral analysis digital filtering timefrequency methods beamforming array processing.
- Demonstrated expertise inultrasound/wave propagationandwavematerial interaction(e.g. dispersion attenuation nonlinearity anisotropy scattering).
- Proficiency inadvanced data analysis techniques: statistical inference optimization regression/classification anomaly detection uncertainty quantification; experience with Python or MATLAB.
Preferred Qualifications
- Experience withmodeling and simulation: COMSOL Abaqus LS-DYNA PZFlex k-Wave OnScale or custom FDTD/FEM solvers.
- Knowledge ofmaterials behavior(metals composites ceramics) microstructure effects on acoustic properties and temperature/pressure/operational effects.
Humble: respectful receptive agile eager to learn
Transparent: shares critical information speaks with candor contributes constructively
Focused: quick learner strategically prioritizes work committed
Leadership ability: strong communicator decision-maker collaborative
Problem solver: analytical-minded challenges existing processes critical thinker.
At GE Aerospace we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here you will have the opportunity to work on really cool things with really smart and collaborative people. Together we will mobilize a new era of growth in aerospace and defense. Where others stop we accelerate.
Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Intern
Key Skills
- Campaigns
- Abinitio
- AutoCAD 3D
- Hardware & Networking
- Customer Support
- Arabic
About Company
Airspace EfficiencyIncrease airspace efficiency with data-driven flight path design and airspace analytics
