Murat Kocaoglu
Top university
2 months ago
Postdoctoral Fellowship in Causal Inference, Generative AI, and Machine Learning at Johns Hopkins University Johns Hopkins University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is a postdoctoral fellowship at Johns Hopkins University. Specific details about funding, stipend amount, or tuition coverage are not provided in the announcement.
Deadline
Expired
Country
United States
University
Johns Hopkins University

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About this position
The Department of Computer Science at Johns Hopkins University is inviting applications for a postdoctoral fellowship through the DSAI (Data Science and Artificial Intelligence) program. This opportunity is ideal for candidates interested in advancing research in causal inference, generative AI, and machine learning. The position offers the unique advantage of mentorship from multiple DSAI faculty members, fostering a collaborative and interdisciplinary research environment. Applicants are encouraged to mention Murat Kocaoglu as a potential advisor if their interests align with his expertise in causal inference and generative AI. The fellowship is based at Johns Hopkins University, a leading institution in computer science and artificial intelligence research. The application deadline is January 23rd, 2025. While specific funding details are not provided, the position is a formal postdoctoral fellowship, typically including a competitive stipend and research support. Candidates should hold a PhD in computer science or a closely related field and demonstrate a strong background or interest in the relevant research areas. For more information or to discuss your application, you are encouraged to contact Dr. Kocaoglu directly. Apply via the Interfolio link provided.
Funding details
The position is a postdoctoral fellowship at Johns Hopkins University. Specific details about funding, stipend amount, or tuition coverage are not provided in the announcement.
What's required
Applicants should have a PhD in Computer Science or a closely related field. Experience or strong interest in causal inference, generative AI, and machine learning is preferred. Additional requirements may include a strong publication record and the ability to work collaboratively with DSAI faculty. No specific GPA or language test requirements are mentioned.
How to apply
Apply through the provided Interfolio link by January 23rd. Mention Murat Kocaoglu as a potential advisor if interested in his research areas. Contact him via email for questions or to express interest.
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