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Are you intrigued by the complexities of human cognition and its intersection with technology? Are you passionate about leveraging neuroscience to enhance human-computer interaction? We invite applications for a PhD position in the fascinating realm of mental workload detection from brain signals.
Project Overview:
Understanding mental workload— the cognitive demand imposed on an individual during task performance— is crucial for designing efficient and user-friendly systems. This interdisciplinary research project aims to investigate mental workload detection using advanced brain signal analysis techniques. By decoding neural activity patterns, such as electroencephalography (EEG), we aim to develop robust methods for real-time assessment of mental workload levels when interacting with an Information System.
Key Objectives:
Requirements:
Essential:
Desirable:
Funding Information:
How to Apply:
Interested candidates should email Dr. Yashar Moshfeghi (yashar.moshfeghi@strath.ac.uk) and include the following attachments:
Contact Dr. Yashar Moshfeghi to express interest by 31/08/2024. Applications will be processed on a 'first come, first served' basis, and the hiring process will conclude as soon as a suitable candidate is identified.
We are committed to inclusion across race, gender, age, religion, identity, and experience, and we believe that diversity makes us stronger by bringing in new ideas and perspectives. The University of Strathclyde was established in 1796 as “the place of useful learning”. This remains at the forefront of our vision today for Strathclyde to be a leading international technological university that makes a positive difference in the lives of its students, society and the world. Strathclyde was the first institute to win the coveted Times Higher Education “University of the Year” award twice, in 2012 and 2019, and has since been voted the Scottish University of the Year in 2020.
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