Publisher
source

Massachusetts Institute of Technology

Top university

Neuroscience, computer science McGovern Institute for Brain Research in United States

Degree Level

Postdoc

Field of study

Neuroscience

Funding

not provided

Deadline

Oct 6, 2026

Country flag

Country

United States

University

Massachusetts Institute of Technology

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Keywords

Neuroscience
Computer Science
Machine Learning
Image Processing
Connectomics
Active Learning
Morphology
Dynamical Systems
Neuron
Data-driven Modeling
Multimodal Analysis

About this position


Posting Description

POSTDOCTORAL ASSOCIATE, DORKENWALD LAB , McGovern Institute for Brain Research - Dorkenwald laboratory , to develop computational reconstruction, analysis, and modeling approaches for connectomics datasets. The lab develops computational approaches to reconstruct, analyze, and model large-scale connectomes, aiming to uncover organizational principles of neuronal circuits and how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell reconstructions; Circuit analysis & modeling: Analysis of cortical connectomes, including comparative analyses across ages/regions; hypothesis-driven tests of discovered circuit rules; pair analyses with data-constrained models (e.g., RNNs, dynamical systems) and simulations; Morphology representation & multi-modal linking: Learn representations of detailed cell morphologies to link across datasets (within connectomics) and across modalities (e.g., EM ? Patch-seq) to build multi-modal connectomic resources that provide the basis for analyses that combine, e.g., connectivity with transcriptomic information; and publish in leading venues, maintain high-quality, reproducible code, collaborate across McGovern/BCS and external collaborators, and mentor students.


Job Requirements

REQUIRED : Ph.D. in neuroscience, computer science, or a related field; experience in machine learning and developing and validating computational analysis workflows; attention to detail; excellent interpersonal, analytical, problem-solving, organizational, documentation, communication, and time-management skills; self-motivation and ability to work independently; and ability to work as part of a tightly knit team.

10/6/2025


What's required

Applicants must hold a Ph.D. in neuroscience, computer science, or a related field. Required experience includes machine learning and developing and validating computational analysis workflows. Candidates should demonstrate attention to detail, excellent interpersonal, analytical, problem-solving, organizational, documentation, communication, and time-management skills. Self-motivation and the ability to work independently as well as collaboratively within a tightly knit team are essential.

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