NASSERI SCHOOL OF BUILDING SCIENCE AND ENGINEERING

Postdoctoral Fellow Position – AI Technologies for Timber Structural Design

Qualifications of the Applicant:

• The applicant must hold or be expected to obtain a PhD degree by the time of hiring in a relevant discipline (e.g., civil engineering, mechanical engineering, computer science, electrical engineering, etc.).
• The applicant should be highly motivated, well organized, and passionate about research, with good communication skills in English and competent publication records.
• The applicant should have a strong desire to conduct transformational research in close collaboration with the industry.
• Demonstrated ability to conduct research independently or in a team.
• Previous research experience in machine learning and structural design would be an asset.

Responsibilities and Training:

• Develop AI solutions for structural timber design.
• Conduct research independently with the guidance of supervisors.
• Deliver clear and concise written and oral
• presentations of data analysis and internal and external reports.
• Prepare manuscripts for journal or conference publications and present their work at national and international conferences.
• Involved in proposal writing.
• Mentor junior graduate students in both technical and safety matters.

Duration & Salary:

• This full-time PDF position has an initial 1-year appointment (as per UofA policy for PDFs), with the potential for annual renewal or promotion for up to 2 years.
• Salary will be commensurate with qualifications.
• The appointment is expected to begin immediately or no later than December 2023.
• The review of applications will start immediately and continue until the position is filled.

Application:

• Please send a copy of your up-to-date CV, a cover letter, transcripts, and contact information for at least 3 references to Dr. Ying Hei Chui at yhc@ualberta.ca and Dr. Qipei (Gavin) Mei at qipei.mei@ualberta.ca. The University of Alberta is deeply committed to improving equity, diversity, and inclusion in engineering. Women and underrepresented minorities are strongly encouraged to apply.