PhD Scholarship: Machine Learning Models: Join an innovative research project focused on transforming robotic manipulation through multisensory integration. Develop multimodal Vision-Language-Action (VLA) models that enable robots to learn from real-world experiences while minimizing dependence on large annotated datasets.
PhD Scholarship: Development of Energy Efficient Machine Learning Models
Designation
PhD Candidate
| Field | Details |
|---|---|
| Research Area | Robotics, Machine Learning, Computer Vision |
| Location | UCL Computer Science, University College London |
| Eligibility/Qualification | Background in robotics, computer vision, or machine learning. Strong analytical skills and a passion for implementing robotic systems. Drive to innovate in dynamic environments. |
| Application Deadline | 13:00 UK time on 28 January 2025 |
Description
This PhD position focuses on the development of energy-efficient machine learning models that leverage multisensory data to enhance the capabilities of robotic systems. Candidates will be engaged in hands-on research, utilizing cutting-edge technologies to create models inspired by human learning processes. The aim is to design efficient fine-tuning techniques that facilitate applications in real-world scenarios.
How to Apply
Interested candidates should send their CV to xiaoxuan.lu@ucl.ac.uk. Please include the subject line “[DTP Application]” in your email.
Last Date for Apply
28 January 2025
