Exploring Brain-Computer Interfaces and AI

Are you intrigued by the convergence of neuroscience and artificial intelligence? Are you passionate about unlocking the potential of brain-computer interfaces (BCIs) to revolutionize human-computer interaction? We invite applications for a PhD position in the dynamic field of exploring brain-computer interfaces and AI.

Project Overview:

Brain-computer interfaces (BCIs) represent a frontier in human-computer interaction, enabling direct communication between the brain and external devices. This project delves into the synergy between BCIs and artificial intelligence (AI), aiming to develop novel techniques for enhancing human capabilities interacting with Information Systems. By leveraging advanced AI algorithms and BCI technologies, we seek to unlock new possibilities for applications in assistive technology. This research promises to reshape the landscape of human-machine interaction and pave the way for innovative solutions to real-world challenges.

Key Objectives:

• Identify challenges associated with AI-enhanced BCIs in assistive technology.
• Develop AI-driven BCI applications specifically tailored for Information Systems, empowering individuals by providing intuitive and efficient means of communication, control, and assistance.
• Evaluate the effectiveness of the developed AI-enhanced BCI applications.
• Collaborate with experts from diverse disciplines, including neuroscience, computer science, and healthcare, to leverage complementary expertise and perspectives, advancing the state-of-the-art in AI-enhanced BCI technology.
• Disseminate research findings through publications in peer-reviewed journals and presentations at academic conferences, contributing to the advancement of knowledge in relevant fields.

Requirements:

Essential:

• Bachelor's or Master's degree (2:1 or above) in relevant fields such as Computer Science, Electrical Engineering, Neuroscience, or related disciplines.
• Strong communication skills.
• Understanding of research methodologies and experimental design.
• Proficiency in programming languages such as Python
• Familiarity with machine learning and artificial intelligence techniques.

Desirable:

• Prior experience in brain-computer interface research or neurotechnology.
• Knowledge of signal processing techniques and data analysis.
• Ability to work independently and collaboratively in a multidisciplinary team.
• Creative problem-solving skills and a passion for innovation.

Funding Information:

• Full stipend and tuition fee coverage at the home rate for eligible students.
• Additional funding opportunities for training, networking, and development.

How to Apply:

Interested candidates should email Dr Yashar Moshfeghi (yashar.moshfeghi@strath.ac.uk) and include the following attachments:

• Cover letter detailing contact information, motivation, background, and proposed research direction (max 3 pages).
• Up-to-date CV.
• Transcripts and certificates of all degrees.
• Two references, one academic.

Contact Dr Yashar Moshfeghi to express interest. 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.