NeuroAI & Brain-Foundation ML Fellow

Harvard University; Harvard (IL); On-site; USD 55,000 - 60,000; Full time

Job summary

The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of NeuroAI as Kempner AI Fellows. We are looking for candidates with strong foundations in modern machine learning and the ambition to build brain foundation models and other AI systems that advance our understanding of neural activity, brain circuits, and biologically grounded intelligence.

Fellows will work closely with Kempner faculty, researchers, and students on foundational ML and

Qualifications

• Bachelor’s or master’s degree in a quantitative field required by the expected start date.
• Strong technical background in modern AI/ML with deep learning and frameworks such as PyTorch or JAX.
• Demonstrated research productivity with publications in ICML/ICLR/NeurIPS or similar, or substantial OSS contributions.
• Experience implementing, training, evaluating, or fine-tuning modern ML models.
• Strong Python programming skills and ability to maintain research code.

Responsibilities

• Fellows conduct research under the direction of a Kempner Institute investigator.
• Develop brain foundation models to predict neural activity from large-scale recordings.
• Collaborate with Kempner faculty, researchers, and students on ML and neuroscience applications.
• Contribute to foundational AI/ML methodology and neuroscience-informed scientific work.

Skills

Python

PyTorch

JAX

Research productivity

Collaborative work

Education

Bachelor's or Master's degree in a quantitative field

Tools

Python frameworks (PyTorch, JAX)

Job description

The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of NeuroAI as Kempner AI Fellows. We are looking for candidates with strong foundations in modern machine learning and the ambition to build brain foundation models and other AI systems that advance our understanding of neural activity, brain circuits, and biologically grounded intelligence.

Fellows will work closely with Kempner faculty, researchers, and students on foundational ML and