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degree in economics, computer science, or another quantitative discipline (such as, but not limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab
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) of developed methods on bio-inspired robotic and/or UAV systems. Utilizing software techniques, such but not limited to Matlab. Perform meetings with our collaborative teams under the sponsored project. Prepare
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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. Utilize physics-based robotic simulation tools (e.g., Gazebo, Matlab/Simscope) and space mission analysis software (e.g., GMAT, STK) for simulating and studying spacecraft systems operations. Utilize
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, process or discipline. May require experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Qualifications Considered The work environment is the laboratory. Physical
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limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab and Stata) is highly desirable. The candidate must be self-directed, thrive on independent
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/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and
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using MATLAB or a related program Experience with statistics and experimental test matrix design as well as hands-on experience utilizing wearable sensors and analyzing/interpreting data Knowledge
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, Spark, Python and Matlab. Familiarity with co-optimization and co-control of multistage manufacturing systems is a big plus Familiarity with microelectronics packaging and heterogeneous integration is
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(e.g., MATLAB, bash, python, etc.) are required. Applicants who have recently completed their terminal degree and plan to develop an independent research career are especially encouraged to apply