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NII Internship

This is a scheme by NII only for its partner universities. The detailed information of the call for intern students can be found on the NII web site and in the partner universities. Application should be done via the partner universities

The current call includes the following topics in our group:

Generative AI for Trustworthy Software Engineering
Investigates use of generative AI such as ChatGPT for enhancing techniques for trustworth software systems such as testing, formal methods, and inspection.
Testing and Trust Exploration for Generative AI
Investigates methods for testing and quality/trust evaluation on generative AI systems, especially customized ones for domain-specific use cases
Search-based Repair for Deep Learning-based Systems
Investigates how to test and debug deep neural networks by adapting software engineering techniques such as search-based testing, fault localization, and automated repair, especially in the context of safety/risk for automated driving systems

This call is part of an internship program by NII (National Institute of Informatics, Japan). Calls are basically made twice a year by NII. First please check the general information by NII

Intern students are expected to learn further knowledge and skills through collaborative activities for promoting our research activities and/or exploring further research topic. Depending on the status of the intern students (e.g., already have active master/phd topics or not), actual work in the internship can be determined flexibly through discussion. The outputs are typically joint papers and/or implemented software, but depend on the topic and the duration of the internship.

Specifically, the following two directions exist to determine the work at the internship.

You can check research introduction and record including the publications. However, the information is often not the latest and it should be much easier to just ask me and discuss together, clarifying your interest and expertise.

In addition to interactions with the supervisor himself, intern students will join various activities in related research groups. We have intensitve project-level activities with researchers/practitioners in our projects including ERATO-MMSD Project and MIRAI-eAI Project.