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Computational Neuroscience Phd Jobs (NOW HIRING)

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Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our ... PhD/postdoc in neuroscience or a related field. * Extensive experience in designing and executing ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions ... Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions ... Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions ... Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or ...

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How much do computational neuroscience phd jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for computational neuroscience phd in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Neuroscience PhD, and why are they important?

To thrive as a Computational Neuroscience PhD, you need advanced knowledge of neuroscience, mathematics, and computer science, typically supported by a doctoral degree in a related field. Expertise in programming languages (such as Python or MATLAB), machine learning frameworks, and neuroimaging or electrophysiological data analysis tools is highly valued. Strong analytical thinking, problem-solving abilities, and collaborative communication skills distinguish top candidates in this interdisciplinary field. These skills are crucial for advancing scientific discovery and translating complex neural data into actionable insights.

What types of interdisciplinary collaboration can I expect as a Computational Neuroscience PhD student?

As a Computational Neuroscience PhD student, you will frequently collaborate with researchers from diverse backgrounds such as biology, psychology, computer science, mathematics, and engineering. These interactions often involve joint research projects, lab meetings, and interdisciplinary seminars, allowing you to contribute your computational expertise to experimental designs or data analysis while gaining valuable insights from other fields. This collaborative environment not only enriches your research but also helps you build a strong professional network and develop a broader skill set, preparing you for various career paths within academia, industry, or clinical research.

What is a Computational Neuroscience PhD?

A Computational Neuroscience PhD is an advanced research degree focused on studying how the brain processes information by combining neuroscience with computational modeling, mathematics, and computer science. Students in this program learn to develop and use mathematical models, simulations, and data analysis techniques to understand neural systems and brain functions. Graduates are prepared for careers in academia, industry, or government, working on projects related to brain research, artificial intelligence, neurotechnology, and more.
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Computational Neuroscience Phd jobs near you
Infographic showing various Computational Neuroscience Phd job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Neuroscience PhD - Inference Modelling (Founding Role)

Clera

San Francisco, CA • On-site

$150K/yr

Full-time

Posted 5 days ago

New

Job description

About the Role
A Y Combinator-backed consumer wearable startup at the frontier of emotional intelligence is hiring a founding Neuroscience PhD to own the core inference model that quantifies emotional states from wearable sensor data. This is a rare opportunity to join a five-person team at the ground floor, bridging cutting-edge computational neuroscience research with production machine learning - with real ownership and equity from day one.
The company builds a wearable device that tracks and trains emotional intelligence (EQ), processing hundreds of audio and biometric signals to surface actionable emotional state metrics in real time. Prototypes are already on users' wrists. The mission: make EQ measurable and trainable in an era where AI commoditises cognitive intelligence.
What You'll Do
  • Design, develop, and iterate on the inference model that quantifies emotional states (energy, mood, focus) from multi-modal wearable sensor data
  • Bridge neuroscience research and production ML - you will function equally as a research scientist and an ML engineer
  • Evaluate and deploy models at scale, maintaining rigour from experimental design through to on-device or cloud inference
  • Apply active inference frameworks and computational neuroscience methods to novel, real-world signal problems
  • Help define the scientific roadmap as a founding team member, with the expectation of building and leading a research org as the company scales
What We're Looking For
Required
  • PhD in computational neuroscience, cognitive science, active inference, or a closely related field (dealbreaker)
  • Demonstrated experience building and deploying inference models to quantify physiological or emotional states from wearable or biosensor data
  • Strong ML engineering skills: model development, evaluation pipelines, and production deployment
  • Hands-on experience with active inference frameworks and computational neuroscience methods
  • Proficiency in Python and relevant scientific/ML tooling
  • Ability to work on-site in San Francisco or London

Nice to Have
  • Experience with multi-modal biosignal processing (EEG, PPG, GSR, audio, etc.)
  • Prior experience in a fast-moving early-stage startup environment
  • Interest in consumer hardware and the intersection of neuroscience and product

Not a fit: Wet-lab-only neuroscience backgrounds without computational or ML experience.
Compensation & Benefits
  • Salary: ~$150,000 USD (San Francisco) / ~£75,000 GBP (London)
  • Equity: Up to 1-2% (founding team stake)
  • The company has recently closed a seed round with angels and strategic partners
  • Visa sponsorship: Not available for new visas; existing visa transfers considered
Location
On-site in San Francisco, CA, USA or London, UK. Location is flexible between the two offices. This is not a remote role.

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