Claire-Deschênes Postdoctoral Fellowship

The Faculty of Engineering at Université de Sherbrooke has created a competition that fits perfectly with its bold and creative mission. Female doctoral candidates and young doctoral graduates can now participate in the Claire-Deschênes Postdoctoral Fellowship Competition.

The goal of the Claire-Deschênes Postdoctoral Fellowship Competition is to promote postdoctoral training for women who will also be offered a professorship position in engineering at Université de Sherbrooke.

Submit your application and you could be awarded one of the three postdoctoral fellowships ($ 50,000/year, up to 2 years) each attached to a professorship at the Université de Sherbrooke.

Building Engineering - Life Cycle Assessment   

The candidate will contribute to teaching in the Faculty of Engineering programs, particularly in the areas of life cycle assessment (LCA) and eco-design. She will also be expected to participate in the development of multidisciplinary engineering education and research activities. She will conduct fundamental and applied research in any of the following areas: consequential LCA modeling, dynamic LCA modeling, life cycle environmental impact assessment, life cycle inventory development, etc. The application themes deal with major societal issues, such as carbon neutrality, raw material scarcity, circular economy, etc.  

Mechanical Engineering  

The candidate will be expected to contribute to the Mechanical Engineering Bachelor program, and to conduct fundamental and applied research in any of the following areas of mechanical engineering: audible and ultrasonic acoustics, aeronautics, bioengineering and sports engineering, product design and development, industrial energy efficiency, solar energy, advanced materials, mechatronics, micro-electro-mechanical systems, shock wave physics, robotics, thermofluids and vibrations.

Robotics Engineering  

The candidate will be required to contribute to the teaching of the Bachelor's program in Robotics Engineering, which began in 2017. They will need to conduct both fundamental and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging, or bioengineering.