Thank you for your interest in the PhD position in our laboratory. To ensure a good fit for both your academic growth and our research objectives, please review the details below before contacting Professor Do to discuss potential opportunities.
Research Focus Areas
We seek candidates passionate about phonological learning and learnability, utilizing computational modeling approaches. Please note that topics related to applied linguistics, such as pronunciation training or pedagogical strategies, are outside our current scope and will not be considered.
Required Qualifications
- Strong background in computational methods, with expertise in machine learning techniques (e.g., supervised/unsupervised learning, neural networks, deep learning, or statistical modeling).
- Proficiency in programming languages for machine learning research, such as Python or R.
- Hands-on experience with machine learning frameworks and libraries, including TensorFlow and PyTorch.
- Proven ability to develop, implement, and evaluate machine learning models, ideally applied to linguistic or phonological data.
Application Materials
When reaching out to Professor Do, please include:
- A writing sample or a copy of your undergraduate/master’s thesis. This is the most critical component of your application, as it showcases your research interests and alignment with our lab’s focus.
- Your research sample should highlight your ability to conduct rigorous research, preferably incorporating computational or data analysis components.
Next Steps
If your interests and qualifications align with our research focus, please email Professor Do with your writing sample. If there is a strong match with our lab’s objectives, she will follow up to discuss further.