Postdoctoral Appointee – ASIC Design for Science
Job posting number: #7100278 (Ref:413354)
Posted: May 18, 2022
Application Deadline: Open Until Filled
In the almost 25 years since the Advanced Photon Source (APS, https://www.aps.anl.gov/), a U.S. Department of Energy (DOE) Office of Science User Facility, first opened at DOE’s Argonne National Laboratory, it has played an essential role in some of the most pivotal discoveries and advancements in science. From chemistry to materials science to COVID-19 research, the APS is one of the most productive X-ray light sources in the world. An upgrade will make it a global leader among the next generation of light sources, opening new frontiers in science.
We invite applicants for a postdoctoral position to develop state-of-art application specific integrated circuits (ASICs) design to be used for 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. In addition to ASIC design for pixel detectors, the appointee will also explore opportunities in advanced microelectronics (e.g., analog neuromorphic computing) in collaboration with the Pritzker School of Molecular Engineering (PME) at the University of Chicago. The successful candidate will be part of an international, highly inter-disciplinary team of experts in ASIC design, machine learning, materials growth, advanced optimization, data compression, coherent imaging and X-ray detector development.
Candidates with a background in electrical engineering, computer engineering, machine learning, computational physics, image processing, x-ray science etc. are encouraged to apply.
Questions about the posting should be directed to Antonino Miceli (email@example.com )
Knowledge, Skills and Experience
- Experience with mixed-signal ASIC designs.
- Knowledge of digital logic designs (RTL) using Verilog and/or System Verilog
- Knowledge of VLSI mixed-signal ASIC design tools (CAD/EDA) and methodologies
- Skill in Python programming.
- Knowledge of front-end and back-end ASIC design elements, such as layout, physical verification, and design verification
- Experience with building analog or digital test-benches and carry-out mixed analog and digital circuit simulations
- Experience with analog ASIC designs
- Advanced digital verification techniques using System Verilog and UVM methodologies
- Experience working with Scala, Chisel and FIRRTL methodology
- Experience with deep learning libraries (Keras, Tensorflow, PyTorch etc.)
- Experience with FPGA designs
- Skill in written and oral communications
- Experience interacting with scientific staff and research groups
- Ability to work effectively as a member of a team
- Ability to effectively communicate with people of diverse backgrounds and skill sets
- Knowledge of readout integrated circuits for radiation sensors, including signal processing, signal filtering, signal conversion, data transmission, high speed electronics
* A qualified candidate will have a PhD obtained within the last three years*
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
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