Skills
Computer Vision
Machine Learning
Robotics Control
About the Role
Brookhaven National Laboratory (BNL) is seeking an engineer to help advance automated protein crystal harvesting at the Center for BioMolecular Structure (CBMS). This is a hands-on role focused on developing vision-guided, real-time robotic manipulation for fragile micron-scale protein crystals suspended in liquid droplets.
This is a 2-year term position with the possibility of renewal based on performance and funding availability.
Responsibilities
- Develop closed-loop perception capabilities for detecting and tracking protein crystals in liquid droplets
- Build and deploy computer vision and machine learning components that support robotic manipulation
- Implement visual servoing and robotic control strategies for real-time operation
- Integrate perception, controls, and robotic systems into an automated crystal harvesting platform
- Collaborate with a multidisciplinary team across crystallography, beamline science, mechanical engineering, controls, and data science
Requirements
- Experience building robotic systems with real-time sensing and control
- Proficiency with computer vision and/or machine learning for perception tasks
- Strong understanding of robotic manipulation, visual servoing, and closed-loop control
- Ability to work effectively in a collaborative, multidisciplinary research environment
- Hands-on engineering experience integrating software, controls, and hardware
Benefits
- Opportunity to contribute to cutting-edge research at a national laboratory
- Collaborate with experts across crystallography, robotics, controls, and data science
- 2-year term with potential renewal based on performance and funding
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