About the Position:

We are seeking a highly motivated and talented Postdoctoral Researcher to join our team at Carnegie Mellon to work on cutting-edge research in machine learning, focusing on developing robust foundation models and LLMs. This position offers an excellent opportunity for a recent Ph.D. graduate to contribute to a high-impact research project that aims to advance the understanding and development of models that are secure to adversarial manipulation.

Responsibilities:

• Conduct original research in machine learning, focusing on topics such as model robustness, AI security, and related areas.
• Collaborate closely with a multidisciplinary team of researchers and faculty members to design, implement, and evaluate novel machine learning algorithms and techniques.
• Develop and maintain software tools, libraries, and datasets to support research activities.
• Publish research findings in top-tier conferences and journals, and present work at academic and industry events.
• Actively engage in the scientific community by participating in peer-review processes and collaborating with researchers from other institutions.
• Mentor and support graduate students, and contribute to the teaching and supervision of students as required.
• Contribute to research grant applications, project reports, and related administrative tasks.

• A Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong research background and publication record in machine learning.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or similar.
• Strong analytical and problem-solving skills, with the ability to develop and implement novel ideas.
• Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely.
• A strong commitment to collaborative research and the ability to work effectively in a team environment.