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About the Role
Develop an AI-driven robotic system for chemical purification in radioisotope production, focusing on reactive fine-motor fluid manipulation and integrating vision-language models for workflow supervision. This position is at the intersection of isotope production and machine learning, offering significant research latitude and opportunities for publication.
Responsibilities
- Design and build a dual-system robotic architecture with a vision-language model for task planning and a learned controller for reactive manipulation.
- Develop a fast reactive control layer using an appropriate background-matched approach.
- Build a 3D perception stack for fluid-state estimation using pretrained visual encoders.
- Develop and validate the system on a cold bench before working with active material.
- Publish results in peer-reviewed venues and present at conferences.
Requirements
- Ph.D. in mechanical engineering, electrical engineering, computer science, physics, mathematics, statistics/data science, or a closely related technical field.
- Backgrounds in robotics, controls, or machine learning are especially relevant.
- Strong programming skills in Python and hands-on experience with modern ML frameworks (e.g. PyTorch).
- Hands-on problem-solving skills and clear, concise written and verbal communication.
- Demonstrated record of peer-reviewed publication.
- Ability to work independently and drive an open-ended, high-risk/high-reward research agenda.
- Candidates must have completed all degree requirements by the commencement of employment.
- Must be able to obtain and maintain a DOE Uncleared Personal Identity Verification (UPIV) credential.
- Subject to restrictions related to participation in Foreign Government Talent Recruitment Programs.
Skills
- Robotic manipulation
- Reinforcement learning
- Imitation learning
- World models
- Model-predictive/optimal control
- Continuous-time dynamical systems
- Collaborative robot arms (e.g. UFactory xArm)
- Force/torque sensing
- Vision-language(-action) models
- Diffusion/flow-matching policies
- JEPA-style latent representations
- 3D vision
- Pretrained visual encoders (e.g. DINOv2, V-JEPA)
- Laboratory automation
- Chemistry workflows
- Radiochemistry
Location
- Upton, New York
Work Type
- Full-time
- Onsite
Experience Level
- Postdoctoral researcher
- Maximum of 5 years of relevant work experience as a post-doc and/or in an R&D position after obtaining a PhD (excluding time for family planning, military service, illness, or other life-changing events).
Education Level
- Ph.D.
Salary/Compensations
- $71900 - $85000 / year
Benefits
- Comprehensive employee benefits program
About the Company
- Brookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation’s future.
- A multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and over 70 years of pioneering research.
- Primarily supported by the U.S. Department of Energy’s (DOE) Office of Science.
- Operated and managed by Brookhaven Science Associates (BSA), a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University.
Equal Opportunity
- Guided by core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled.
- Committed to fostering a respectful and collaborative environment that fuels scientific discovery.
- Consider all qualified applicants without regard to any characteristic protected by law.
- All qualified individuals are encouraged to apply.
- Ensure individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
- VEVRAA Federal Contractor.