Take the entrance exam for degree programs administered by the Graduate School of Information Science and Technology at Osaka University. Note that this lab is within Multimedia Engineering major.

Undergraduate students enrolled in Information Systems Engineering Course of Div. of Electronic and Information Engineering, School of Engineering can choose this lab as their lab assignment for the final year of study.

All tours/info sessions will be in Japanese.

We plan to hold the next lab tour on December 13, 2024.
We cannot change the date upon individual request.
If you are interested, make a registration through this Google form.
If you have questions, or want more information, feel free to contact us via email.
bd-contact[at]mm.ist.osaka-u.ac.jp

NEW! We’ve opened a Discord server where you can feel free to ask questions. From small matters to consultations about further studies, anything is welcome. Additionally, you don't need to reveal your name or affiliation. Join us here!

The Big Data & Graph AI Laboratory at Osaka University is dedicated to advancing the integration of machine learning and artificial intelligence with database systems. Our research spans various cutting-edge areas, with a strong focus on developing intelligent and scalable database systems.

As a PhD candidate, you will engage in innovative research in the following areas:

• Machine learning-driven query optimization: Enhancing database performance through AI-driven optimization techniques.
• Large-scale graph neural networks: Developing scalable algorithms for graph-based data analysis and processing.
• Homomorphic Database System: Exploring secure and privacy-preserving database technologies using homomorphic encryption.
• Bidirectional transformations for database integration: Developing techniques to seamlessly integrate heterogeneous databases using bidirectional transformations.

You will have the opportunity to contribute to groundbreaking research, publish in top-tier conferences and journals, and collaborate with leading experts in the field.

We are looking for candidates with the following qualifications:

• A Master's degree in Computer Science, Data Science, or a related field.
• Strong background in database systems, machine learning, or graph neural networks.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Good communication skills and a strong commitment to research.

For any inquiries regarding the position, feel free to contact Prof. Makoto Onizuka via
onizuka[at]ist.osaka-u.ac.jp