Postdoctoral Researcher in Neuromorphic Computing (Remote)

Kongens Lyngby, Capital Region
Posted 1 month, 2 weeks ago
Engineering

About the role

Job summary

This position seeks a postdoctoral researcher focused on applying neuromorphic computing to extract information from acoustic and electromagnetic signals using machine learning and signal processing. The role involves collaboration with experimental scientists and offers a chance to work at the cutting edge of neuromorphic engineering.

Qualifications

  • PhD in Computer Science or a related field.
  • Proven track record of publications in peer-reviewed journals demonstrating high-quality, independent research.
  • Proficiency in Python, including experience with data analysis and model training scripts. Familiarity with scientific computing libraries (NumPy, pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow).

Responsibilities

  • Publish high-quality research articles and present findings at international conferences.
  • Develop, implement, and validate machine learning models to optimize materials performance under varying environmental conditions.
  • Collaborate with experimental researchers to integrate computational findings with network sensing of acoustic and electromagnetic signals.

Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication skills for knowledge exchange in machine learning and signal processing.

Education

  • A PhD in Computer Science or a related field is required.

Tools

  • Proficiency in Python and experience with deep learning libraries such as PyTorch and TensorFlow.
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