Neural Engineering Researcher: AI & Neurotech Lead

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Benefits offered by this job

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Neural Engineering Researcher to advance machine learning methods for connectomics, neural interfaces, and neurally-inspired AI.

You will lead and collaborate on pioneering research with government and commercial partners, developing software platforms and neurotechnology to analyze and interact with the nervous system. APL offers a dynamic, multidisciplinary environment and robust benefits.

Qualifications

• PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or related field.
• Experience developing ML models, data analysis pipelines, or scalable scientific software.
• Experience researching connectomics, neural interfaces, neurally-inspired AI, or foundation-model neurobehavioral analysis.
• Ability to obtain Secret level security clearance; U.S. citizenship required.

Responsibilities

• Develop machine learning models, systems, and computational methods spanning connectomics, neural interfaces, neurally-inspired AI, and/or neurobehavioral research.
• Lead and collaborate on pioneering research with government and commercial partners.
• Work with engineers to develop ML algorithms, software platforms, and neurotechnology for analyzing the nervous system.
• Communicate key findings internally and with sponsors, including proposal development.

Skills

Machine learning models

Data analysis pipelines

Neural interfaces

Neurally-inspired AI

Collaborative teamwork

Education

PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or related field

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Neural Engineering Researcher to advance machine learning methods for connectomics, neural interfaces, and neurally-inspired AI.

You will lead and collaborate on pioneering research with government and commercial partners, developing software platforms and neurotechnology to analyze and interact with the nervous system. APL offers a dynamic, multidisciplinary environment and robust benefits.