Lead Neural Interfaces & AI Researcher

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 102,500 - 227,500; Full time

Benefits offered by this job

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Job summary

A leading research institution in Maryland is seeking a Neural and Cognitive Engineering Researcher to lead in developing algorithms and systems for connectomics and neural interfaces. Candidates should possess a PhD and experience in related fields, along with the ability to obtain a Secret level security clearance. This role emphasizes collaboration in a multidisciplinary environment, offering a competitive salary between $102,500 and $227,500 annually.

Qualifications

• Classroom or professional experience developing software and/or data analysis scripts.
• Experience conducting research on connectomics, neural interfaces, neurally-inspired AI, or neurobehavioral research.
• Ability to obtain a Secret level security clearance.

Responsibilities

• Developing algorithms and/or systems for connectomics and neural interfaces.
• Collaborate on multi-disciplinary research with government and commercial partners.
• Design and perform human subjects research and machine learning.

Skills

Developing software

Data analysis scripts

Machine learning algorithms

Education

PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or related discipline

Job description

A leading research institution in Maryland is seeking a Neural and Cognitive Engineering Researcher to lead in developing algorithms and systems for connectomics and neural interfaces. Candidates should possess a PhD and experience in related fields, along with the ability to obtain a Secret level security clearance. This role emphasizes collaboration in a multidisciplinary environment, offering a competitive salary between $102,500 and $227,500 annually.