Postdoctoral - Ultrasonic Sensor Networks and Artificial Intelligence
As part of an innovative research project, we are recruiting a PhD holder in engineering sciences for a 12-month assignment. This project, selected under the ALKHAWARIZMI program, is funded by the CNRST, the ADD (Digital Development Agency) and the Ministry of Higher Education, Innovation and Scientific Research of the Kingdom of Morocco. The project aims to develop an intelligent flexible ultrasonic sensor network, integrating artificial intelligence (AI) algorithms, for early detection and monitoring of breast cancer. It is part of a close collaboration between Euromed University of Fes (UEMF), the Cancer Research Institute (IRC) and the Hassan II University Hospital Center of Fès. The ambition is to design an innovative, non-invasive and low-cost screening solution, offering an alternative or complement to current techniques such as mammography, conventional ultrasound and MRI, by exploiting advanced ultrasonic imaging coupled with intelligent signal processing and data analysis methods.
• Design, model, simulate and build a network of flexible ultrasonic sensors for biomedical applications. • Develop and integrate miniaturized ultrasonic transducers on flexible substrates, enabling device adaptation to different anatomical morphologies of the breast. • Set up an experimental test bench and actively participate in validation campaigns in the laboratory and clinical settings, in collaboration with medical partners. • Develop and implement signal processing and artificial intelligence algorithms to improve tissue detection and characterization. • Contribute to the drafting of high-level scientific publications and valorize results through patents. • Participate in the project's scientific, technical and coordination meetings.
Training:
- Holder of a doctorate (PhD) in Physics, Engineering Sciences, Biomedical Engineering, Electronics, Acoustics, or equivalent field.
Experience:
- Proven experience in sensor technologies, ideally ultrasonic, and in medical imaging.
Skills:
- Strong skills in scientific programming (Python, MATLAB).
- Mastery of signal processing techniques and data analysis.
- Knowledge of artificial intelligence, machine learning and neural networks is a major asset.
Personal qualities:
- Ability to work in a multidisciplinary environment combining engineering, physics and medical sciences.
- Autonomy, scientific rigour, initiative and strong teamwork skills.
Application form
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