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Job Summary
The College of Engineering is seeking a highly skilled and innovative Research Assistant specializing in AI-driven smart manufacturing, digital twin systems, and VR-enabled predictive maintenance, with responsibilities that include assisting in lab setup, developing educational materials, and preparing research for publication and workshop dissemination.
Job Summary
The College of Engineering is seeking a highly skilled and innovative Research Assistant specializing in AI-driven smart manufacturing, digital twin systems, and VR-enabled predictive maintenance, with responsibilities that include assisting in lab setup, developing educational materials, and preparing research for publication and workshop dissemination.
Essential Functions
- Develop and execute research projects that use virtual reality to enhance intelligent manufacturing processes.
- Collaborate with faculty, researchers, and students to publish research findings and present at scientific conferences.
- Seek grant opportunities and draft reports to support the funding of research activities.
- Engage in digital manufacturing simulations and experiments to optimize production efficiency and innovation.
- Design and implement virtual reality environments for robotic interaction and IoT integration.
- Contribute to the creation and maintenance of project websites to showcase research findings and advancements.
- Apply AI and ML techniques to improve automation and data analytics in manufacturing systems.
Required Qualifications- Minimum of master's degree or the equivalent combination of education and work experience.
- Please review the Equivalency Chart for additional information.
- Minimum 2 years of relevant experience.
Preferred Qualifications
- Master's degree in Robotics, Mechanical Engineering, or related field.
- Strong publication record in peer-reviewed journals and conferences.
- Excellent collaboration skills with the ability to work in a multidisciplinary team.
- Proficiency in programming languages and tools relevant to AI and ML.
Physical Demands
- Typically sitting at a desk/table
- Typically standing, walking
Location
- University City - Philadelphia, PA
Additional Information
This is a Full-Time temporary position classified as Non-Exempt. The offered pay is based on the successful candidate’s qualifications and experience, department budget, and an internal equity review.
For information about benefits, please review Drexel’s Per Diem/Casual/Temporary Benefit Fact Sheet .
Special Instructions to the Applicant
Please make sure you upload your CV/resume and cover letter when submitting your application.
A review of applicants will begin once a suitable candidate pool is identified.
Seniority level
Seniority level
Entry level
Employment type
Job function
Job function
Research, Analyst, and Information TechnologyIndustries
Higher Education
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