PhD Opportunity in AI Hardware & Neuromorphic Devices

Kyushu Institute of Technology

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Vacancy

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Description

The Kyushu Institute of Technology (Kyutech) in Japan is seeking one highly motivated PhD student to join Professor Hirofumi Tanaka’s research group. This position offers a unique opportunity to conduct advanced research at the intersection of materials science, electronics, and next-generation artificial intelligence systems. Starting in October 2026, the successful candidate will contribute to cutting-edge projects involving intelligent devices and brain-inspired computing hardware.

Research Focus Areas

Professor Tanaka’s research group specializes in developing the physical building blocks for future AI. Key areas of interest include:

• AI Hardware & Neuromorphic Devices: Designing hardware that mimics the neural structure of the human brain.
• Nanoelectronics: Utilizing carbon nanotube-based systems and graphene nanoribbons.
• In-Materio Computing: Exploring how functional materials can perform computational tasks directly.
• Intelligent Materials: Developing functional materials specifically for intelligent device applications.

Candidate Profile & Qualifications

This opportunity is ideal for students passionate about experimental and theoretical work in advanced electronics. Applicants with backgrounds or interests in the following are strongly encouraged to apply:

• Materials Science: Nanomaterials and materials synthesis.
• Device Engineering: Fabrication and electrical characterization of electronic devices.
• Advanced Computing: Neuromorphic systems and reservoir computing.

Eligibility & Target Audience

Academic Level: Prospective PhD students.

Starting Date: October 2026.

Availability: 1 open position.

Application Process

Interested candidates should reach out to discuss their research interests and potential fit for the group:

• Initial Connection: Feel free to connect with the lab for further discussion regarding the research scope.
• Preparation: Ensure your background aligns with the group’s focus on AI hardware and materials-driven intelligence.