Interpretability Research Scientist: Brain-AI Foundations (1-Year)

Stanford University School of Medicine; Stanford (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Access to unique datasets

State-of-the-art computing infrastructure

Job summary

A leading medical research institution is seeking a Research Scientist in Interpretability to lead initiatives at the intersection of AI and neuroscience. The ideal candidate will have a Ph.D. and experience in deep learning and will be responsible for guiding research on neural representations and mentoring junior staff. This role offers a collaborative environment and access to cutting-edge resources at Stanford University.

Qualifications

• Ph.D. with 2+ years post-Ph.D. research experience.
• Strong publication record in top-tier machine learning conferences.
• Demonstrated ability to mentor junior researchers.

Responsibilities

• Lead research initiatives on the interpretability of models.
• Develop theoretical frameworks for neural representations.
• Mentor junior researchers in interpretability methods.

Skills

Deep learning

Python programming

Research leadership

Multi-modal deep learning models

Education

Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

A leading medical research institution is seeking a Research Scientist in Interpretability to lead initiatives at the intersection of AI and neuroscience. The ideal candidate will have a Ph.D. and experience in deep learning and will be responsible for guiding research on neural representations and mentoring junior staff. This role offers a collaborative environment and access to cutting-edge resources at Stanford University.