Join Us
We are always interested in outstanding students, postdoctoral researchers, and collaborators who are excited about safety-critical autonomy at the intersection of robotics, machine learning, and control.
Current Openings
These positions are actively recruiting. Applications are reviewed on a rolling basis unless otherwise stated.
Postdoctoral Researcher
Safety in Foundation Model-Enabled Robotics
We are seeking a postdoctoral researcher to work on safety across the lifecycle of foundation model-enabled robotic systems, including validation, monitoring, verification, and safety-aware learning.
Position Description
PhD Students
Safe Learning, Control, and AI Safety
We are anticipating hiring multiple PhD students in the 2025-2026 admission cycle. We are especially excited about:
- Safety and alignment in foundation and generative models
- Training, monitoring, and validation for safe foundation-model-enabled robotics
- Safe learning and control for aviation and space systems
See the prospective PhD students guidance below before reaching out.
AA PhD Admissions
Undergraduate and MS Students
Research Projects in SIA Lab
Stanford undergraduate and MS students typically join existing projects and work closely with a PhD student, with the expectation that they may eventually lead their own projects. We occasionally have targeted project opportunities, but students are also welcome to reach out with their own interests (please see the UG/MS, visiting students, and interns guidance below for what to include when reaching out).
Stanford students are also strongly encouraged to take AA276, Principles of Safety-Critical Autonomy, before starting research in the lab.
Targeted opportunities: None at the moment.
Teaching
General Inquiries
In addition to the openings above, SIA Lab is always interested in connecting with researchers and students whose interests align with our work. Opportunities may depend on funding, timing, and mutual research fit.
Because of the high volume of inquiries, please use the guidance below before reaching out. A short, specific note is much easier to review than a long generic email.
Specific Research Questions
If you have technical questions about lab papers or projects, please feel free to email Somil with a subject line that includes research question. You may receive a faster response if you also email or CC the graduate student listed on the relevant paper.
Prospective PhD Students
Please apply to the Stanford AA PhD program and mention Somil Bansal under faculty of interest. Admissions are coordinated at the department level, so admission-specific questions and application-review requests should go to the department.
After submitting your application, you are welcome to send a concise email with your CV and 2-3 sentences about the research interests, projects, or papers that most excite you.
Prospective Postdoctoral Scholars
Excellent postdoctoral candidates are encouraged to contact Somil with:
- academic CV and publication list
- a short description of past and future research interests
- names and contact information for two academic references
External fellowship applications are welcome, and the lab is happy to discuss potential fit and funding paths.
Current UG/MS Students, Visiting Students, and Interns
If you are interested in joining or visiting the lab, please send a concise email with:
- CV and transcripts
- a brief note on why you are interested in SIA Lab and which projects interest you
- relevant background in ML, control, robotics, Python, deep learning, ROS, or hardware
- desired duration and whether you need funding or have external funding
Fellowship Resources
A few common funding resources that may be useful for graduate students and postdoctoral candidates.