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Join our team as an Academic Content Contributor and help shape the next generation of technical learning. We are seeking Master’s or PhD-level candidates from design, engineering, and manufacturing disciplines who have produced strong graduate-level academic work and are willing to contribute advanced, original coursework materials. This opportunity is ideal for candidates who have completed research projects, graduate coursework, simulations, or technically rigorous assignments and are interested in turning that work into meaningful contributions.
Job Responsibility:
Submit original, graduate-level academic materials created during your Master’s or PhD studies
Provide technically rigorous and domain-specific content such as advanced project files, lab reports, simulations, research assignments, or design documentation
Provide supporting explanations for complex submissions, including code walkthroughs, simulation logic, design decisions, or methodology
Ensure all submitted materials are your original work and not publicly shared
Collaborate with subject matter reviewers during the evaluation process and address feedback where necessary
Participate in licensing agreements for accepted submissions
Maintain high standards of technical accuracy, originality, and academic depth
Requirements:
Currently enrolled in or recently completed a Master’s or PhD program in Mechanical, Electrical, Industrial, Manufacturing Engineering, or related fields
Strong graduate-level coursework, research projects, thesis work, or advanced laboratory assignments
Ability to produce technically detailed documentation and structured academic content
Proficiency in English for written technical communication
Experience using domain-relevant tools such as CAD software, MATLAB, SPICE, ANSYS, Python, or Jupyter Notebook
Comfortable sharing and licensing original academic work
Nice to have:
Master’s thesis or PhD research involving complex simulations, system design, or experimental analysis
Experience creating detailed technical reports, lecture notes, or graduate-level solutions
Strong familiarity with simulation environments, modeling tools, or advanced engineering workflows