PhD Position Opening: Neuro-AI and Brain-Computer Interfaces
We are seeking highly motivated and talented candidates to join our lab at the University of Technology Sydney as a PhD student for a recently funded Australian Research Council (ARC) Project. This position is perfect for individuals passionate about brain decoding, brain-computer interfaces, translational neuroscience, and AI-driven innovations. The research focuses on advancing cutting-edge brain decoding of mental imagery to develop Neuro-AI models capable of generating emotion-eliciting images.
✨ What Are We Looking For?
Required Qualifications:
- An Australian First Class Bachelor (Honours) degree,
- A Research Masters degree, or
- Equivalent overseas qualifications in cognitive science, computer science, mathematics, engineering, or a related subject.
- Proficiency in one or more programming languages (C/C++/C#, Python).
- Familiarity with one or more tools MATLAB/Unity/EEGLabs.
- Ability to communicate complex information effectively in presentation and writing.
- A track record of publication(s) in peer-reviewed conferences/journals.
- Fluency in English.
- Open to both domestic and international applicants.
Desired Qualifications:
- Understanding of machine learning methods and tools.
- Interest in translational neuroscience and BCI applications.
- Knowledge of behavioural and (neuro)physiological recording techniques (e.g., eye-tracking, cardiac monitoring, electrodermal response, EEG, fMRI).
- Experience in designing and conducting cognitive neuroscience experiments.
💰 Funding Details
- Fully funded position, including tuition fees.
- Competitive stipend of $37,000 AUD per annum for 3.5 years.
- Support for conference attendance and travel.
📄 How to Apply
To apply or inquires, please email the following to avinash.singh@uts.edu.au:
- A detailed CV.
- A cover letter outlining your research interests and experience.
- Contact details of 2–3 academic referees.
Deadline: Applications will be accepted until the position is filled.