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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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efficient material processing techniques that combine high optical quality with utmost precision through direct laser writing. This capability, responding to challenges in nanofabrication, could unlock new
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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making that incorporate dynamic scene features, pose tracking, and eye-tracking data collected from an immersive police shooting simulator. The position is based at Indiana University Bloomington, with
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experience with electromagnetic simulation software for both optical (PIC) and microwave (MMIC) applications (Lumerical, Comsol, Tidy3D, CST, HFSS, or similar). Strong experience with optical experimentation
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of experiments and simulations using advanced equipment and complex research techniques. Collect, analyze, evaluate, and interpret research data. Plan and execute experimental protocols with precision
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Carlo and Molecular Dynamics simulations will also be carried out to reveal the competing kinetic pathways at the growth front. The experimental part will use multiple experimental methods, including but
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conditions are particularly suitable for detailed comparisons with high-fidelity numerical simulations. Additionally, LEGI lab has a similar reactor to that of LMFL (operational and fully instrumented
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Description 1. Research scholarship for one candidate holding a Doctoral degree is open, in the framework of project with reference COMPETE2030-FEDER-00842900, entitled “In vivo retinal optical coherence
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
fading, and maintain stable performance over 40–100 km fibre lengths. Perform co-simulation of optical and electronic/system-level subsystems (e.g., using Python, MATLAB, VPI). Build and characterise