Research Assistant - College of Engineering - Electrical and Computer Engineering

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our interdisciplinary approach to education and research allows faculty and student across the university and beyond to collaborate on problems that have a significant impact on the world around us.

Carnegie Mellon University's department of Electrical and Computer Engineering is seeking a Research Assistant that will contribute to the development and evaluation of computer vision algorithms, with a focus on assessing performance in edge deployment settings. Their role will involve supporting model development, running experiments, and analyzing results to evaluate accuracy and efficiency.

Core Responsibilities:

• Administer and coordinate the technical activities of an educational activity in relation to the operation of a laboratory.
• Acts as an advisor to subordinates to meet schedules and/or resolve technical problems.
• Develops and administers budgets, schedules, and performance requirements.
• Frequently coordinates the program activities with responsibility for results in terms of costs, methods, and users.
• Serve as an advisor to faculty to meet schedules and or resolve technical problems.
• Ensure Standard Operating Procedures and protocols are maintained and applied.
• assist with the deployment and testing of these models in real-world or simulated environments, helping ensure reliable performance under practical constraints such as latency and resource limitations.
• Additionally, they will help curate and organize datasets, run evaluations, and document findings.
• Provide hands-on experience with applied computer vision systems, including working with image and video data, and supporting the training and optimization of deep learning models in a research-driven setting.
• Other duties as assigned

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• High School Diploma or equivalent
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered

Requirements:

• Successful background check