Live opening · Posted 22 hours ago

Postdoctoral Research Associate - Robotics and Embodied AI

Brookhaven Science Associates, LLC · Upton, NY
Workday
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The key details from the original listing.

Posted 22 hours ago
CompanyBrookhaven Science Associates, LLC
LocationUpton, NY
SourceWorkday
ListedPosted 22 hours ago

About the role

Description supplied by the original job listing.

Brookhaven National Lab’s (BNL) AI Department welcomes qualified candidates to apply to a new postdoc research position in robotics. The Scientific Embodied Agents Lab (SEAL) within the Computing and Data Sciences (CDS) directorate is working at the intersection of AI and robotics to investigate the challenges and opportunities facing advanced robotics technologies in supporting current scientific workflows and enabling new capabilities. A key motivator for this endeavor is the breadth of experimental science that form the core of BNL’s research focus. We seek to leverage generalizable, AI-driven robotics approaches to accelerate scientific discovery, enable robust knowledge capture and transfer, and support experimental science in novel ways that cannot be met with traditional automation techniques. A successful candidate will join a growing team developing AI methods for robotics, with an emphasis on an Embodied AI paradigm.
We seek candidates with expertise in robotics, and in algorithmic and AI methods for robotic perception and control. We are most interested in experience with robotics for manipulation tasks, though other strong areas of experience (e.g. locomotion, human-robot interaction, multi-robot systems) are considered as well. We value hands-on experience with robot hardware including controllers, sensors, electronics, power systems, motors, and custom manufactured parts, including 3D printing.
Essential Duties and Responsibilities:
Conduct fundamental and applied research and development in robotics, including work on robotic perception, control, manipulation and interaction
Work effectively with single-arm, bimanual, humanoid, and semi-humanoid robots, and with various end-effectors, sensors, control interfaces, and APIs for a variety of experiments, benchmarking efforts, and development of novel perception and control methods
Collaborate effectively with interdisciplinary teams across BNL and with our academic and industry partners
Conceive and execute high-quality research ideas in partnership with AI Department colleagues and mentors
Publish and communicate research outcomes and participate in proposal and collaboration-building activities
Position Requirements
Required Knowledge, Skills, and Abilities:
Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or Mechanical Engineering awarded within the past five years, with demonstrated hands-on experience in robotics. Candidates with a Ph.D. in a closely related science or engineering field may also be considered if they have significant demonstrated robotics experience
Demonstrated publication record in robotics fields and/or in AI/ML methods for robotics; or clear record of robotics projects and achievements (publications, GitHub, lab website)
Excellent programming and computer science skills
Experience with robotic diagnostics, maintenance, and customization (e.g. electronical/mechanical disassembly, soldering, driver troubleshooting, etc.)
Experience with robot simulation environments
Experience with 3D modeling, 3D printing, and custom hardware integration
Preferred Knowledge, Skills, And Abilities:
Strong theoretical understanding and practical experience in machine learning, artificial intelligence, and embodied AI
Experience in developing, training, evaluating, and deploying large AI/ML models in HPC and cluster computing environments
Experience working in multidisciplinary collaborations
Experience working with industry partnerships
Other Information:
Initial 2-year term appointment subject to renewal contingent on performance and funding
Candidates must have received a Ph.D. by the commencement of employment.
BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events
This is a fully onsite position located at BNL in Upton, NY
Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $74050 - $122550 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program
Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory – view more information at www.bnl.gov/real-id. This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews.
As a U.S. Department of Energy laboratory, Brookhaven National Laboratory requires employees to obtain and maintain a DOE Uncleared Personal Identity Verification (UPIV) credential in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE facilities and information systems. As a condition of employment, the selected candidate must be able to obtain and maintain a UPIV credential. These requirements are established under DOE Order 206.2 Chg. 2, Identity, Credential, and Access Management (ICAM- Identity, Credential, and Access Management (ICAM)), and DOE Order 473.1A- Physical Protection Program- Physical Protection Program.
About Us
Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.
Equal Opportunity/Affirmative Action Employer
Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that 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. Please contact us to request accommodation. *VEVRAA Federal Contractor
BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file

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