Job Description
Join NeuroSync Technologies at the forefront of cognitive computing innovation. We're pioneering neural interface systems that will redefine human-machine collaboration by 2026. As an AI Research Scientist, you'll develop cutting-edge algorithms for adaptive neural networks, contributing to breakthroughs in brain-computer interfaces and autonomous decision systems.
Our multidisciplinary team combines neuroscience, quantum computing, and edge AI to create solutions for healthcare, robotics, and climate modeling. You'll work in state-of-the-art labs with NVIDIA DGX systems and collaborate with MIT-affiliated researchers on projects with real-world impact.
Responsibilities
- Design and implement novel deep learning architectures for neural signal processing
- Lead research in unsupervised learning for pattern recognition in noisy biological datasets
- Develop quantum-optimized algorithms for real-time cognitive data analysis
- Collaborate with neuroscientists to validate AI models against fMRI and EEG data
- Publish findings in Nature/Science journals and present at NeurIPS conferences
- Secure $2M+ in NIH/DARPA grants for 2026 research initiatives
Qualifications
- PhD in Computer Science, Neuroscience, or related field with 3+ years postdoc experience
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Published record in top-tier AI/neuroscience journals (h-index >15)
- Proficiency with high-performance computing clusters and GPU optimization
- Experience with FDA/ISO 13485 compliance for medical AI systems
- Strong background in signal processing for biomedical time-series data