The Science, Technology and Innovation Unit, in collaboration with the Department of Engineering and Architecture of the University of Trieste, seeks applications from outstanding young scientists with a strong research record for a postdoctoral position on machine learning for advanced scientific instrumentation, starting in Summer 2023.
The candidates must have practical experience in machine learning and model compression techniques for reconfigurable hardware accelerators, such as FPGA-SoC, with especial focus on signal processing for particle and radiation detectors, and on image processing and understanding for precision agriculture.
The ICTP takes seriously its commitment to equal opportunity and diversity in hiring, and in its global mission to promote science in the developing world. For this call preference will be given to female candidates.
Science, technology and innovation
Candidates must have completed a PhD in Computer Science, Engineering, Physics or related disciplines prior to the start of their fellowship and have practical experience in the research areas mentioned above.
ICTP offers internationally competitive remuneration and a number of benefits.
How to apply: candidates should apply online.