Interns will work within a world-class cross-disciplinary research centre collaborating with researchers and engineers on basic and applied AI research
Job Summary
Interns will work within a world-class cross-disciplinary research centre collaborating with researchers and engineers on basic and applied AI research.
The role requires publishing in top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, and ICCV while developing high-quality, reproducible code.
Candidates must be currently pursuing or completing a PhD and have at least one first-author publication in a major AI conference.
Matching Summary
Interns will work within a world-class cross-disciplinary research centre collaborating with researchers and engineers on basic and applied AI research.
Skills & Requirements
Must-have
PhD in Computer Science or related field
First-author publication in top AI conferences
Proficiency in Python and PyTorch
Strong grasp of algorithms and data structures
Nice-to-have
Experience with Foundation Models and LLMs
Background in distributed GPU implementation
Experience with on-device ML algorithm implementation
Professional software engineering environment experience
Key Requirements
Current PhD student in CS, Engineering, or Mathematics
First-author publication record in top-tier venues