Postdoc: Deep Learning Theory & Theoretical Neuroscience

Harvard University; Cambridge (MA); On-site; USD 67,600 - 91,826; Full time

Job summary

Harvard University is seeking a Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience to join Cengiz Pehlevan’s research group. This role involves investigating the emergence of intelligence through simple processing units in neural networks, covering a range of topics in deep learning and neuroscience.

The ideal candidate must have a PhD and possess strong analytical and numerical skills. Positions are funded for multiple years with flexible start dates. Interested candidates should submit a cover letter, research statement, CV, and references.

Qualifications

• Required a PhD in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields.
• Strong analytical and numerical skills are essential.
• Experience in relevant research topics is a plus but not necessary.

Responsibilities

• Contribute to ongoing projects and explore new research directions.
• Investigate scaling regimes of deep networks depending on funding.

Skills

Analytical skills

Numerical skills

Education

PhD

Job description

Harvard University is seeking a Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience to join Cengiz Pehlevan’s research group. This role involves investigating the emergence of intelligence through simple processing units in neural networks, covering a range of topics in deep learning and neuroscience.

The ideal candidate must have a PhD and possess strong analytical and numerical skills. Positions are funded for multiple years with flexible start dates. Interested candidates should submit a cover letter, research statement, CV, and references.