Post Doctoral Fellow (zk-24-2)
Pittsburgh pa
Applications have closed
Carnegie Mellon University
CMU is a global research university known for its world-class, interdisciplinary programs: arts, business, computing, engineering, humanities, policy and science.Description
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.
Qualifications
- 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.
Equal Employment Opportunity Statement
Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science LLMs Machine Learning PyTorch Research Security Teaching TensorFlow
Perks/benefits: Conferences Team events
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