Research Fellowship
Explore new robot learning research with enterprise-level compute, alongside a team of ICML authors and NeurIPS award winners.
Apply for the fellowship- Location
- Remote
- Duration
- 2–3 months (flexible)
- Stipend
- $6K / month
Research fellows from
Who should apply
Graduate students and exceptional undergraduates with backgrounds in pretraining large models, reinforcement learning, or adjacent fields, who want to work on general-purpose robotics.
You’ll lead a research project with our team on a challenge we encounter building general-purpose robot models at Pantheon. We will incorporate strong results into the next generation of those models.
Funding and mentorship
Stipend and compute
$6K/month and enterprise-level compute for your experiments.
Weekly 1:1s
Mentorship from a team including ETH Zurich alumni, ICML authors, NeurIPS award winners, and researchers from xAI and Jane Street.
Public research
Work toward a paper or other public research output.
Full-time roles
Outstanding fellows will be offered full-time roles at Pantheon after the fellowship.
Current research questions
These questions come directly from training and evaluating our general-purpose robot models: one policy that has to handle many tasks, objects, and stations rather than a single fixed one.
Value learning
How can we learn a value function for general purpose tasks?
Model drift & test-time adaptation
How should world models detect and adapt when predictions diverge from experience?
Multimodal representation
How should world models combine vision, touch, force, and proprioception when signals arrive at different rates or are missing?
Scaling laws for Forward Dynamics Models
How do data, compute, and model size trade off in robot learning, and how does this compare with video pretraining?
Learning from failure
How do we deliberately induce and learn from failures, and does failure data beat an equal budget of successful demonstrations?
Apply to the fellowship
Send us your CV, a short note on the research questions that excite you, and any relevant work to fellowship@pantheon.inc.
Apply for the fellowship