Join Our
Team
In our lab, we respect and value the diversity of our students and research staff. Our lab welcomes culturally and linguistically diverse applicants of all genders.
PhD Positions
Essential Skills
- You hold an Honour or Master degree in Computer Science, Mathematics, Physics, or Engineering with a strong academic record.
- You have a background in machine learning and computer vision.
- You have strong applied mathematics, statistics, probability, or computational mathematics and physics skills.
- You have programming experience in one or more languages such as Python, Matlab, C/C++, C#, Java, or CUDA.
- You communicate fluently in English.
All PhD positions
Two fully funded PhD positions in Distributed AI
Two Monash-NVIDIA projects in distributed AI, edge intelligence, and autonomous robotics.
Fully funded international/domestic PhD positions
We accept phd students with diversed topics in the computer vision, robotics and embodied AI.
Semantic 3D Reconstruction of Dynamic Scenes
Available funded IITB-Monash joint PhD project on semantic 3D reconstruction of dynamic scenes.
Assured Neuro-symbolic Reasoning PhD positions
Fully funded PhD positions across planning, multi-modal agents, and world-model reasoning for the Assured Neuro-symbolic Reasoning project.
Frequently asked questions
What is the duration of the PhD program?
Does the lab support industry internships and international collaboration?
What is the usual working style for PhD students?
What living stipend can PhD students usually expect?
What is the expected guidance from supervisors?
Will I be asked to take on extra workload besides research?
Staff Positions
Research fellow and assistant roles
OpenPostdoctoral Research Fellow in Computer Vision
Immediate-start, industry-linked computer vision research with Monash IRT and railway partners.
Research Fellow (Level A/B) in Neuro-Symbolic AI
Closed postdoctoral research-fellow role focused on neuro-symbolic AI.
Research Fellow (Level A/B) in 3D vision and robot perception
Fixed-term postdoctoral role within HARNESS / Assured Neuro-symbolic Reasoning focused on open-world 3D robot perception and prediction.