The Imaging Systems Engineer develops and integrates embedded control systems, custom circuitry, and software user interfaces for high-speed automated microscopic imaging systems and work closely with a multidisciplinary team to ensure the success of the project.

Tulane's School of Science and Engineering is beginning a multi-year project to improve outcomes for prostate and colorectal cancer surgical patients. The project will involve rapidly scanning tumor excisions with high resolution and precision and then using advanced machine-learning techniques to detect residual tumor cells on the surface. The project will create a device to scan and present results to a surgeon while still in the operating room. This state-of-the-art device will be at the forefront of cancer treatment.
• Overall understanding of embedded control systems and controller prototyping and testing.
• Ability to build and troubleshoot custom hardware and software control systems.
• Experience with embedded control systems for imaging system/vision automation.
• Proficiency with electrical test equipment.
• Master's Degree (in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a similar field) with 2 years of applicable engineering experience.
OR
• Bachelor's Degree (in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a similar field) with 5 years of applicable engineering experience.
• Ph.D. in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a similar field.
• Python/C++ / C# programming experience or equivalent.
• Knowledge with building embedded control systems in Python or C++/C#.
• Experience in machine vision and/or industrial automation.
• Experience with PCB design, DAQ, and FPGA programming.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage multiple projects simultaneously.