Tech Stack

Description

You will design and develop state-of-the-art classification algorithms for EEG neurodiagnostics using machine learning and signal processing. You will work with clinical stakeholders, manage projects, and mentor junior team members.

Requirements

• PhD in EE, CS, Statistics or equivalent
• 7+ years experience in signal processing, machine learning, and algorithm development
• Proficient in Python, Matlab, or R
• Experience in biological signal processing and biomedical applications
• Experience with large-scale datasets and advanced ML techniques (CNNs, RNNs)

Responsibilities

• Design classification algorithms for neurological indications using time-series analysis and machine learning
• Analyze data for trends and patterns
• Collaborate with stakeholders to define project needs and communicate results
• Select and implement evaluation metrics for algorithm performance and clinical relevance
• Document and validate models for regulatory compliance