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Engine, Python, and GIS software. Strong quantitative and analytical skills in working with satellite observations, geospatial datasets, and environmental data. As the position requires collaboration and
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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English. Process integration & optimization; root-cause/failure
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required (eg: Python, Fortran, C++). Key Responsibilities: Lead EEE/SaRC research on satellite data assimilation & weather prediction Assimilate new satellite observations Analyze the impact of data
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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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); familiarity with phase-noise / linewidth / RIN measurement and coherent detection is a strong advantage Competent in scripting and data analysis in Python or MATLAB, with comfort using version control (Git) and
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, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab/LabVIEW) Applicants preferably
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) would be an added advantage Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication
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Demonstrate skills in quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML
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measurements, awareness of noise, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab