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Computational Neuroscience Deep Learning Postdoc Jobs

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Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually ... PhD/postdoc in neuroscience or a related field. * Extensive experience in designing and executing ...

Myana

Research Fellow - Deep Learning

Boston, MA · On-site

$60 - $80/hr

The postdoctoral fellow will be part of a multidisciplinary team of neuroscientists, neurologists ... PhD or an equivalent degree in computer science, neuroscience, biomedical engineering, or related ...

American Society for Experimental Neurotherapeutics

$60 - $80/hr

Zimmerman Center for Computational Brain Science at Brown University is seeking Postdoctoral ... neuroscience, capable of collaborating with clinical researchers to advance knowledge of ...

TBC

Computational Neuroscientist

San Francisco, CA · On-site

$200 - $250/hr

You will work across computational neuroscience, biology and machine learning to design experiments ... Familiarity with PyTorch, JAX or other modern deep-learning frameworks. * Experience building ...

TBC

$200 - $250/hr

You will work across computational neuroscience, biology and machine learning to design experiments ... Familiarity with PyTorch, JAX or other modern deep-learning frameworks. * Experience building ...

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How much do computational neuroscience deep learning postdoc jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computational neuroscience deep learning postdoc in the United States is $30.73, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $38.70 per hour, depending on experience, location, and employer.

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Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Harvard Universityexternal

Full-time

Re-posted 12 hours ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

83rd of 633 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology
School
Faculty of Arts and Sciences
Department/Area
Kempner Institute at Harvard University
Position Description
The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of NeuroAI as Postdoctoral AI Researchers. We are looking for candidates with deep expertise in modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain circuits, and biologically grounded intelligence.
We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and an interest in contributing to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits and neural activity. In particular, Postdoctoral AI Researchers may help develop brain foundation models that predict patterns of neural activity from large-scale, multi-regional recordings.
Areas of particular interest include:
  • foundation model training, evaluation, and adaptation
  • time-series modeling
  • transformers, autoencoders, and dynamical systems models
  • modeling brain circuits and neural activity from large-scale recordings
  • large-scale scientific applications of AI/ML, including in the life sciences

Postdoctoral AI Researchers will work closely with Kempner faculty, researchers, and students on foundational machine learning and neuroscience-informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in foundation models and modern AI/ML to important questions in neuroscience and biological intelligence, while continuing to grow as scholars within a collaborative academic environment.
Candidates should be within 2 years of receiving their doctoral degree and will work under the direction of Kempner Institute faculty.
Appointment Terms
  • Postdoctoral AI Researchers conduct research under the general supervision of one or more Kempner faculty members
  • The appointment is for one year; reappointment may be possible for up to a total of three years, contingent on funding, project needs, satisfactory performance, and mutual interest.
  • This is a full-time, benefits-eligible postdoctoral appointment based at the Kempner Institute at Harvard University.
  • Due to the importance of in-person mentoring and collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible.

Basic Qualifications
  • PhD in computer science, statistics, electrical engineering, applied mathematics, computational neuroscience, computational biology, neurobiology, physics, or a related quantitative field required by the expected start date.
  • Candidates must have received their PhD on or after September 15, 2024, or be on track to complete all PhD requirements by the expected start date of October 15, 2026.
  • Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with frameworks such as PyTorch or JAX.
  • Strong publication record in leading venues such as ICML, ICLR, NeurIPS, COSYNE, CCN, or comparable conferences and journals, and/or substantial open-source research contributions.
  • Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models.
  • Strong programming skills in Python and experience building and maintaining research code.
  • Demonstrated ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows.
  • Experience in computational neurobiology, neural data analysis, or modeling neural activity from large-scale recordings.
  • Ability to work effectively in a collaborative research environment and communicate technical work clearly.

Additional Qualifications
  • Expertise in neuroscience, biologically grounded intelligence, and scientific applications of AI/ML.
  • Experience modeling brain circuits and neural activity from large-scale, multi-regional recordings.
  • Experience with large-scale datasets, distributed training, or high-performance computing environments.
  • Experience with foundation model training, post-training, adaptation, or evaluation.
  • Experience with time-series modeling.
  • Experience with transformers, autoencoders, dynamical systems models, or related approaches for sequential or neural data.
  • Interest in alternative architectures and systems-level approaches to AI

Special Instructions
Please submit the following items in PDF format no later than 11:59pm EST Monday, June 8, 2026:
  • CV
  • A research statement of no more than 2 pages describing your experience using modern AI/ML to model neural activity, brain circuits, or other neuroscience data. Please be specific about your individual contributions.
  • References - 2-3 required
    • Please give the emails of up to 3 individuals who can describe your previous related work.
    • Referees will be contacted to submit the letters directly to the Kempner Institute.
    • The application will not be considered complete until all letters have been received.

Candidates selected for further consideration will be asked to submit a short video presentation reviewing their past work; additional details will be provided at that stage. Following review of the videos, a subset of candidates will be invited to interview with members of the selection committee via Zoom.
Applications received after the deadline will be reviewed on a rolling basis if positions remain available.
We anticipate a start date of October 15, 2026.
Contact Information
Moly Marshall
Contact Email
KempnerInstitute@Harvard.edu
Salary Range
Expected salary is $100,000, subject to compliance with the applicable salary requirements for the appointment. This is a benefits eligible position.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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