加拿大皇后大学机器视觉和深度学习博士后

　　加拿大皇后大学机器视觉和深度学习博士后

　　Description of Area or Topic of Research: The postdoctoral fellow will develop artificial neural networks to help identify and analyze radiation-induced features in electron micrographs of neutron and ionirradiated zirconium alloys and zirconium hydrides. This work will involve collaboration with the Canadian Nuclear Laboratories. It will also involve ionirradiations that will be performed at the Reactor Material Testing Laboratory (RMTL https://rmtl.engineering.queensu.ca/) at Queen’s University.

　　Supervision and Academic Unit: Professors Laurent Béland & Mark Daymond

　　Start Date and Duration of Appointment: 1 year appointment, renewable 1 year.

　　Flexible start date: Fall 2020 or Winter 2021.

　　Required Qualifications: Ph.D. in Engineering, Computer Science, Physics, Materials Science, Mathematics or a similar quantitative discipline. Experience in machine vision and deep learning will be considered a significant asset. Experience with ion irradiation and transmission electron microscopy will be considered an asset. Experience with software development and computer simulations will be considered an asset.

　　Required Documentation: A CV, list of three references, list of publications.

　　Application Procedure:

　　Apply by email to laurent.beland@queensu.ca and CC mark.daymond@queensu.ca

　　EMPLOYMENT EQUITY: The University invites applications from all qualified individuals. Queen's is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, Aboriginal peoples, persons with disabilities, and LGBTQ persons.

　　ACCOMMODATION IN THE WORKPLACE: The University has policies in place to support its employees with disabilities, including an Accommodation in the Workplace Policy and a policy on the provision of job accommodations that take into account an employee's accessibility needs due to disability. The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant's accessibility needs. If you require accommodation during the interview process, please contact Laurent Béland at laurent.beland@queensu.ca or 343-364-8820