Autonomous Laboratories, Robotics & Artificial Intelligence – Postdoctoral Researcher
Listed on 2026-07-10
-
Research/Development
Research Scientist, Robotics, Data Scientist
Autonomous Laboratories, Robotics & Artificial Intelligence – Postdoctoral Researcher
- Full-time
- Employee Referral Bonus:
Not applicable - Job Code 1: PDS.
1 Post-Dr Research Staff 1 - Pre-Employment Drug Test:
Required for external applicant(s) selected for this position (includes testing for use of marijuana) - Pre-Placement Medical Exam:
Not applicable - Security Clearance:
None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation) - Position Type:
Post Doctoral
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world‑changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi‑domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
We are seeking a highly motivated Postdoctoral Researcher to contribute to the design, development, and deployment of autonomous laboratories that accelerate scientific discovery through the integration of artificial intelligence, robotics, automation, data infrastructure, and experimental capabilities across advanced manufacturing, materials science, chemistry, and biology. This position offers a unique opportunity to work at the intersection of hands‑on laboratory automation, robotics, and AI‑enabled experimentation across a broad portfolio of application areas.
This role is well suited for a researcher who is excited by both scientific investigation and platform development. You will help translate research questions into experimental workflows, prototype and troubleshoot automated and robotic systems, analyze data from active research campaigns, and contribute to the development of next‑generation autonomous laboratories. This position is within the Materials Engineering Division (MED) in the Engineering Directorate.
- Design and validate autonomous experimental workflows for materials science, chemistry, advanced manufacturing, biology, or related scientific domains, transforming research questions and bench‑scale procedures into reproducible automation protocols.
- Integrate instruments, robotics, sensors, and software systems into coordinated autonomous or semi‑autonomous laboratory platforms that enable safe, reliable, and scalable experimentation.
- Develop software and data infrastructure in support of research campaigns for instrument control, data acquisition, experiment orchestration, workflow automation, metadata capture, traceability, and integration with laboratory information or data management systems.
- Apply AI/ML methods to experimental discovery, including experiment planning, adaptive experimentation, predictive modeling, optimization, and analysis of experimental and instrument data.
- Contribute to multidisciplinary research campaigns by troubleshooting platform performance, documenting and communicating results, publishing in peer‑reviewed journals, presenting at conferences, and collaborating with scientists, engineers, roboticists, automation engineers, and AI/ML researchers.
- Present research findings at seminars, conferences, and technical meetings; contribute to research design and project execution; collaborate in a multidisciplinary team environment; and publish results in peer‑reviewed journals.
- Perform other duties as assigned.
- Ph.D. in Materials Science, Chemistry, Chemical Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Physics, or a related field.
- Experience performing research in materials science, chemistry, laboratory automation, robotics, AI/ML, or autonomous experimentation.
- Ability to design, execute, analyze, and communicate scientific or engineering research.
- Experience developing software for scientific computing, experimental control, data analysis, automation, or instrument integration.
- Familiarity with one or more programming…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).