Optical manager Jobs in Boston ma

Harvard University is launching a nation-wide initiative around platforms for microfluidics and optical engineering. The DARTS project is a large, high-profile, multi-institutional project that focuses on developing microfluidics and microscopy tools to capture microbes from clinical samples and identify the antibiotics to which they are sensitive. We are searching for an optical engineer to work with our team to accomplish these goals. This position will work closely with researchers who have developed prototype instruments, and will engage with faculty, researchers and corporate partners to develop these prototypes into robust instruments that can be used in real world contexts.

In this position, you will design, build, and test advanced microscopes and other imaging-based approaches that push the limits on speed, resolution, content, and throughput using : 1) live-cell super-resolution methods (e.g.. SIM, QPM and Fourier Ptychography); 2) label-free methods (e.g. FLIM, hyperspectral imaging and Raman; 3) hardware designed for ultra-fast and ultra-high-throughput imaging (e.g. printable micro-lenses and complex light-guides, optimized stages, hardware triggers, exposures, etc.); 4) custom-written drivers and work-flows; and 5) machine-learning integrated into multiple stages of data-acquisition and processing. You will recruit and manage a small staff group to help test and enhance microscope performance. We expect multiple publications and patents to be produced as a result of this work, in which you will participate as appropriate.

The ideal candidate will have broad experience in optical physics, control theory, hardware design, programming, and robotics.

Key responsibilities : 1. Optical design and assembly of super-resolution microscopes for live-cell imaging.

2. Develop hardware and software for ultra-fast, ultra-high-throughput imaging.

3. Implementation and testing of imaging systems to measure microbial growth in microfluidic devices.

4. Develop and validate image pre-processing routines for image analysis, including machine learning techniques.

5. Develop and document microscopy workflow and protocols.

6. Produce reports on progress for funder; participate in writing patents and publications.

7. Recruit, train and manage 2-3 support staff.