Doctoral Student Opportunities

Dr. Shuya (Emily) Feng in the Department of Computer Science is seeking highly self-motivated Ph.D. students to join her research group. The main research areas include Differential Privacy, Federated Learning, Adversarial Machine Learning, LLM Security and Privacy, and Trustworthy AI.

Requirements:

• An outstanding graduate in computer science, applied mathematics, statistics, cybersecurity, or a related field
• Solid background in machine learning and deep learning with hands-on experience
• Strong mathematical foundation in probability, statistics, and linear algebra; familiarity with the theory of privacy (e.g., differential privacy, secure multi-party computation, cryptographic primitives) is a strong plus
• Knowledge of security and privacy concepts, including threat modeling, adversarial attacks, or privacy-preserving machine learning
• Experience with LLMs, federated learning frameworks (e.g., Flower, PySyft), or privacy libraries (e.g., Opacus, TensorFlow Privacy) is preferred
• Good writing and presentation skills, with the ability to communicate technical results clearly
• Determination and willingness to work hard on individual and team projects

Interested students should contact Dr. Shuya (Emily) Feng at This email address is being protected from spambots. You need JavaScript enabled to view it. with resume, transcripts, and a brief statement of research interests. Passionate students without any prior publication or research experience are encouraged to apply to collaborate first.

Dr. Brandon Oubre is seeking a highly motivated doctoral student to join his research group. Research will focus on the development of digital health tools for quantitative behavioral phenotyping and health monitoring based on time-series sensor data.

Requirements:

• Strong fundamental and practical knowledge in machine learning.
• Good computer science background.
• Evidence of good writing and presentation skills.
• Interest in human health and collaborative, interdisciplinary research. (Evidence of prior interdisciplinary work is preferred but not required.)
• Willingness to be involved in human subjects research protocols. (Prior experience is preferred but not required.)

Interested students should apply to the doctoral program and may send an email with an attached CV and transcript to Dr. Oubre at This email address is being protected from spambots. You need JavaScript enabled to view it. with your CV.

Dr. Hy Truong Son in the Department of Computer Science is seeking highly self-motivated Ph.D. students to join his research group, HySonLab. The students will be fully funded and the main research areas include AI for Science, Bioinformatics, Drug Discovery, Drug Repurposing, Natural Language Processing for medical documents, and Computer Vision for medical imaging.

Requirements:

• An outstanding graduate in computer science, applied mathematics, or a related field
• Solid knowledge and skills in machine learning, deep learning and programming
• Good mathematical background
• Good writing and presentation skills
• Research experience and publications are highly preferred
• Determination and willingness to work hard on individual and team projects

Interested students should contact Dr. Hy Truong Son at This email address is being protected from spambots. You need JavaScript enabled to view it. with resume and transcript. Passionate students without any prior publication or research experience should apply to collaborate and work with HySonLab first. Preference for the Ph.D positions will be given to students who have prior publications with HySonLab.