VISION & LEARNING FOR AUTONOMOUS AI LAB

PhD Positions

We are always looking for a highly motivated and outstanding candidate, who is eager to get involved in cutting edge, creative research with real-world applications.

Essential Skills:

  • You hold an Honour/Master degree in Computer Science, Mathematics, Physics, or Engineering with a great GPA from a reputable University.
  • You have a background in machine learning and computer vision.
  • You have excellent skills in areas such as applied mathematics, statistics/probability theory or computational maths/physics.
  • You have programming skills in one or few coding languages (e.g., Python, Matlab, C/C++/C#, Java, CUDA).
  • We expect fluent communication skills in English.

Desirable Skills:
  • You are already a proficient programmer in one of the main Deep Learning libraries (e.g., Darknet, TensorFlow, PyTorch, Keras etc.).
  • Track record of a publication in top tier Computer Vision, Robotics or Artificial Intelligence conferences and/or journals would be also advantageous

Current available funded positions

  • (IITB - Monash joint PhD program) Self-Supervised Approaches for Dense Prediction Tasks From Images.
  • (IITB - Monash joint PhD program) Joint 3D Reconstruction of Human and Objects in a Dynamic Scene Using Monocular Video.
  • Spatiotemporal Object Detection/Segmentation from Multi-Spectral Time Sequence Data

Research Assitant/Research Fellow Positions


Current available positions

  • Available One Research Fellow/Postdoc position (Level A/B) in robot vision and reasoning.
  • Two Research Fellow/Postdoc positions (Level A/B) in 3D vision and robot vision.
  • Multiple Research Assistant/Engineer positions in computer vision, natural language processing and speech processing
  • One RA position for Learning with Less Label in Video classification
  • One RA position for Learning with Less Label in Object Detection
  • One RA position for Active Visual Navigation in an Unexplored Environment
In our lab, we respect and value the diversity of our students and research staff. Our lab is welcome to culturally and linguistically diverse, of all genders.

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