Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience

Harvard University; Cambridge (MA); Presencial; USD 67.600 - 91.826; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

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

Conocimientos

Analytical skills

Numerical skills

Educación

PhD

Descripción del empleo

Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience

Postdoctoral positions are available in Cengiz Pehlevan’s research group at Harvard University. Our group investigates how intelligence emerges from the collective dynamics of simple processing units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and recent publications, please visit pehlevan.seas.harvard.edu.

Successful candidates will have the opportunity to contribute to ongoing projects and/or explore new research directions within the group. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks.

Basic Qualifications

A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research topics is a plus but not required.

Special Instructions

The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent on satisfactory progress. Start dates are flexible.

To apply, please submit a cover letter that includes your contact information and earliest possible start date, a short statement of research interests (both past and future), a CV, and at least two references. Applications will be reviewed on a rolling basis. For questions, please send an email to [e-mail]. SEAS is dedicated to building a diverse and welcoming community.

Contact Information

[e-mail]

Salary Range

$67,600 – $91,826 (pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field).

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.