Argonne
Autonomous Infrastructure and Robotic Science Lead
Lemont, IL USA · Mid · Contract
Sponsorship not specified$116k-$181kDetected 81 days ago
GitMachine LearningData ScienceA/B TestingRoboticsResearchLeadershipCommunicationMentoring
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Entry-level history60
PERM / green-card track50
Fits your clock70
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About the role
- The candidate will have established expertise across automated and autonomous experimental platforms and AI in addition to leadership of multi-disciplinary research programs and the development of novel research concepts.
- Argonne tackles the largest scientific and engineering challenges of our time, from clean energy and advanced materials to artificial intelligence and quantum information science.
- RPL projects span new materials for energy storage, discovery of antimicrobial compounds, isotope production for medical applications, and more.
Responsibilities
- Facilitate collaborations between the RPL and domain scientists across Argonne and partner institutions in the execution of successful autonomous science demonstrations
- Facilitate collaborations between the RPL and teams at partner institutions developing autonomous science and robotics infrastructure
- Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community
- RPL serves as a software and robotics hub where scientists collaborate, train the next-generation autonomous-discovery workforce, and develop open-source infrastructure for self-driving labs.
- MADSci is RPL's flagship open-source software ecosystem and a core enabling technology for Argonne's broader Autonomous Discovery initiative, which aims to transform laboratory science by combining robotics, AI, and simulation to design, execute, and learn from experiments at unprecedented scale.
Requirements
- Completed Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field, and a minimum of 4+ years of related experience
- Proven research track record in deploying automated and autonomous platforms and AI/ML towards accelerating science
- Demonstrated ability to formulate scientific problems relevant to the DOE portfolio
- Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators to achieve established goals
- Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
- Cover letter detailing how your experience and expertise align with and will contribute to this position
Skills
- Autonomous laboratories for chemistry, materials, biology, etc.
- AI/ML for predictive modeling and inverse design
- Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery
- Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research
- Digital twins and simulation-augmented AI tools
Compensation
- Please note that the pay range information is a general guideline only.
Benefits
- The Rapid Prototyping Lab (RPL), in the Data Science and Learning division, develops integrated hardware and software solutions to accelerate scientific discovery through robotics and AI.
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This listing is sourced directly from Argonne's careers page and normalized into a canonical job model.