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Urgently Hiring Computational Neuroscience Jobs (NOW HIRING)

DePaul

CSH Adjunct Faculty - Neuroscience

Chicago, IL · On-site

$4.20K - $5.60K/wk

Introduction to Neuroscience, Physiological Psychology, Cellular Neurobiology, Computational ... The anticipated hiring rate of this position is between $4,200 and $5,600 per course, commensurate ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

... computational neuroscience. This environment provides exceptional opportunities for ... of the hiring department. Work agreements are reviewed annually at a minimum and are subject to ...

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How much do urgently hiring computational neuroscience jobs pay per hour?

As of May 28, 2026, the average hourly pay for urgently hiring computational neuroscience in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.57 per hour, depending on experience, location, and employer.

What is the difference between Urgently Hiring Computational Neuroscience vs Computational Biologist?

AspectUrgently Hiring Computational NeuroscienceComputational Biologist
Required CredentialsAdvanced degrees in neuroscience, computational modelingBiology, bioinformatics, computational modeling degrees
Work EnvironmentResearch labs, healthcare institutions, academiaResearch labs, biotech companies, academia
Industry UsageNeuroscience research, medical applicationsGenomics, systems biology, drug development
Search & Comparison IntentFocus on neuroscience-specific rolesBroader biological research roles

Urgently Hiring Computational Neuroscience roles focus on modeling brain functions and neural systems, often requiring neuroscience-specific expertise. Computational Biologists work across various biological fields, including genomics and systems biology. While both roles involve computational skills and research environments, they differ in subject matter specialization and industry applications.

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Urgently Hiring Computational Neuroscience jobs near you

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC • Remote

Full-time

Posted 15 days ago

Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.