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Rashid Bashir

Prof.

York University

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Canada

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Research Interests

Artificial Intelligence

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Statistics

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Deep Learning

10%

Environmental Science

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Civil Engineering

10%

Information Technology

10%

Natural Language Processing

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Positions1

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Hina Tabassum

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York University

Postdoctoral Fellow / Research Associate in Applied AI and Foundation Engineering

York University’s Lassonde School of Engineering is recruiting a Postdoctoral Fellow / Research Associate for an interdisciplinary project at the intersection of Applied AI , Foundation Engineering , Civil Engineering , Electrical and Computer Engineering , and Geotechnical Engineering . The project is jointly supervised by Prof. Rashid Bashir and Prof. Hina Tabassum and is funded by the Ontario Ministry of Transportation (MTO) and an NSERC Alliance Grant . The research focuses on building an AI-driven pipeline to extract critical geotechnical information from unstructured PDF Foundation Investigation Reports using OCR , NLP , and deep learning . The successful candidate will also develop machine-learning models to predict design parameters such as bearing capacity and settlement behavior . Applicants should hold a Ph.D. in Computer Science , Electrical and Computer Engineering , Civil Engineering (with a strong computational focus), Data Science , or a closely related field. Strong experience in machine learning and/or artificial intelligence is required, along with proficiency in Python , R , MATLAB , or equivalent tools. Familiarity with geotechnical concepts such as soil mechanics and foundation design is expected, and a strong publication record in AI/ML engineering applications is preferred. Experience with NLP and OCR is an asset. The post specifically notes that the candidate should currently be located within Canada . The anticipated start date is August 15, 2026 . To apply, send a CV, cover letter, research statement, and 2–3 academic references to both supervisors by email. This is a strong fit for candidates interested in computer science , civil engineering , geotechnical engineering , AI/ML , and document intelligence for infrastructure applications.