Senior Neural Field Modeller

3 days ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $10,608 - $113,697
Machine Learning Researcher Position

We are seeking a highly skilled Machine Learning Researcher to join our team. As a key member of our research group, you will be responsible for conducting cutting-edge research in machine learning techniques applicable to neural fields.

  • Develop and implement novel algorithms for studying reaction-diffusion dynamics.
  • Collaborate with experts in partial differential equations and reaction-diffusion systems to integrate domain knowledge with machine learning approaches.

To succeed in this role, you will need a strong background in deep learning, neural fields, or physics-informed machine learning, as well as basic knowledge of partial differential equations. Knowledge of differential geometry is desirable, and experience with reaction-diffusion models or related dynamical systems would be an asset. Proficiency in programming languages such as Python, TensorFlow, or PyTorch is also required.

Qualifications:
  • PhD in Machine Learning, Applied Mathematics, Computational Science, or a related field.
  • Strong background in deep learning, neural fields, or physics-informed machine learning.
  • Basic knowledge of partial differential equations.
  • Knowledge of differential geometry is desirable.
  • Experience with reaction-diffusion models or related dynamical systems.
  • Proficiency in programming languages such as Python, TensorFlow, or PyTorch.
Benefits:
  • A stimulating research environment with opportunities for interdisciplinary collaboration.
  • Access to high-performance computing resources.
  • Competitive salary and benefits.

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