Postdoctoral Appointee - Deep learning at the edge
- Argonne National Laboratory
- Location: Lemont, IL
- Job Number: 7073806 (Ref #: 409191)
- Posting Date: Jan 6, 2021
- Application Deadline: Open Until Filled
Job Description
The Advanced Photon Source (APS) (https://www.aps.anl.gov/) at Argonne National Laboratory (Chicago, US) invites applicants for a postdoctoral position to develop DL-accelerated data compression and analysis on the edge through ASICs. At the APS, we are developing next-generation pixel array detectors for X-ray science in particular for high-throughput coherent X-ray imaging. Coherent imaging methods (including Ptychography) provide a powerful means of imaging materials at resolution beyond the limits of x-ray optics and under operando conditions but require challenging data handling and computational resources. The successful candidate will lead the development of neural network based ASIC implementations of data compression and analysis methods at the edge.The successful candidate will be part of a cross-lab, highly inter-disciplinary team of experts in machine learning, ASIC design, advanced optimization, data compression, coherent imaging and X-ray detector development. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including the world’s first exascale computer (Aurora) and one of the brightest synchrotron x-ray sources in the world (APSU).Candidates with a background in electrical engineering, computer engineering, machine learning, computational physics, image processing, inverse problems, x-ray science etc. are encouraged to apply.
We are seeking a combination of the following knowledge, skills and experience: Preferred Qualifications: Questions about the posting should be directed to amiceli@anl.gov or mcherukara@anl.gov
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