Postdoctoral Fellow: Miniature Multiphoton Microscope Imaging

University of Michigan; Ann Arbor (MI); On-site; USD 70,000 - 90,000; Full time

Job summary

University of Michigan in Ann Arbor seeks a Postdoctoral Research Fellow to lead the development and validation of a miniature fiber-coupled multiphoton microscope for in vivo neuronal imaging in freely behaving mice. You will advance remote-focusing design, optimize imaging performance, and collaborate across optics, engineering, and neuroscience teams.

The role emphasizes optical characterization, data acquisition integration, and preclinical validation, with opportunities to contribute to

Qualifications

• PhD in optics, physics, electrical or biomedical engineering or related field.
• Substantial hands-on experience with laser-based optical instrumentation.
• Experience with multiphoton microscopy, nonlinear optics, or ultrafast lasers.
• Ability to troubleshoot complex optical systems across disciplines.

Responsibilities

• Lead ultrafast laser and fiber-optic characterization of the system.
• Characterize remote-focusing and scanners; quantify PSF, FOV, SNR.
• Implement XY, XZ, multi-plane imaging and validation protocols.
• Integrate acquisition hardware and software for synchronized imaging.
• Develop MATLAB- or Python-based analysis for performance metrics.
• Lead preclinical imaging validation in mouse models and protocols.

Skills

Optical instrument development

Laser alignment

Multiphoton microscopy

Ultrafast lasers

Data analysis (MATLAB/Python)

Education

PhD in optics/physics/EE/biomedical eng

Tools

Zemax

MATLAB

LabVIEW

Python

Job description

University of Michigan in Ann Arbor seeks a Postdoctoral Research Fellow to lead the development and validation of a miniature fiber-coupled multiphoton microscope for in vivo neuronal imaging in freely behaving mice. You will advance remote-focusing design, optimize imaging performance, and collaborate across optics, engineering, and neuroscience teams.

The role emphasizes optical characterization, data acquisition integration, and preclinical validation, with opportunities to contribute to