Publisher
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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

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Country

United States

University

Johns Hopkins University

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Keywords

Computer Science
Causal Inference
Machine learning

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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