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ST2090: Radiation Source Localization
The Computational Sensing Team at MERL is seeking an intern to work on estimation algorithms for radioactive source localization. The candidate should have experience with statistical modeling and estimation theory. A detailed knowledge of interactions of particles with matter, imaging inverse problems, and/or computed tomography is preferred. Hands-on experience with high-energy physics simulators (e.g., Geant4) is beneficial but not required. Strong programming skills in Python are essential. Publication of the results produced during our internships is expected. The duration is anticipated to be 3-6 months.
- Research Areas: Applied Physics, Computational Sensing, Electronic and Photonic Devices, Signal Processing
- Host: Joshua Rapp
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EA2189: Advanced RF technologies
We are seeking a graduate student interested in the research in device physics modeling. The interns will collaborate with researchers at MERL. The ideal candidate should be a senior Ph.D. student with in-depth experience in semiconductor device physics, device modeling, GaN technology, and the use of TCAD as a simulation tool. Some of the work includes understanding and developing thermal boundary conditions and the impact of self-heating on gate leakage of the device. This internship's starting date is flexible and lasts for about 3 months.
- Research Area: Applied Physics
- Host: Chungwei Lin
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EA2050: Electric Motor Design and Electromagnetic Analysis
MERL is seeing a motivated and qualified individual to conduct research on electric motor design and modeling, with a strong focus on electromagnetic analysis. Ideal candidates should be Ph.D. students with solid background and publication record in one more research area on electric machines: electric and magnetic modeling, new machine design and prototyping, harmonic analysis, fault detection, and predictive maintenance. Research experiences on modeling and analysis of electric machines and fault diagnosis are required. Hands-on experience with new motor design and data analysis techniques are highly desirable. Start date for this internship is flexible and the duration is 3-6 months.
- Research Areas: Applied Physics, Multi-Physical Modeling
- Host: Bingnan Wang
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