Postdoc: Neural Circuits, VR & Behavioral ML

The Chronicle Of Higher Education, Inc.; Ashburn (VA); On-site; USD 66,780 - 81,620; Full time

Benefits offered by this job

On-site childcare

Free gym access

On-campus housing available

Shuttle service to Janelia from DC

Job summary

HHMI Janelia Research Campus in Ashburn seeks a Postdoctoral Scientist to integrate custom hardware and software with computational analysis for probing neural circuits of social behavior in Danionella. You will design VR paradigms and collaborate across a diverse team, advancing brain-behavior maps through cutting-edge VR and imaging technologies.

The role emphasizes independent experimental design, ML-driven analysis, and publication-ready results, within a highly collaborative lab setting and

Qualifications

• Ph.D. in neuroscience, CS, or engineering; strong systems expertise.
• Hybrid hardware-software integration with ML skills.
• Experience building complex VR setups for behavioral studies.
• Ability to work independently and with a multi-disciplinary team.

Responsibilities

• Design VR paradigms to present naturalistic social stimuli.
• Develop ML-based analyses for multi-animal behavior.
• Investigate neural circuits underlying inter-individual differences.
• Collaborate with VR specialist and Janelia community.
• Prepare technical reports and contribute to publications.

Skills

Neuroscience

Machine learning

VR systems development

Software-hardware integration

Scientific communication

Education

Ph.D. in neuroscience, CS, or engineering

Tools

VR hardware

Multi-animal tracking

Two-photon imaging

Job description

HHMI Janelia Research Campus in Ashburn seeks a Postdoctoral Scientist to integrate custom hardware and software with computational analysis for probing neural circuits of social behavior in Danionella. You will design VR paradigms and collaborate across a diverse team, advancing brain-behavior maps through cutting-edge VR and imaging technologies.

The role emphasizes independent experimental design, ML-driven analysis, and publication-ready results, within a highly collaborative lab setting and