Postdoctoral Researcher in Neuromorphic Computing (Remote)

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.