Here, I introduce the members of our team, classified into current members and alumni. Since my appointment at the University of Tsukuba in April 2008, I have had the privilege of welcoming a continuous stream of talented students into the group, allowing me to be closely involved in the education and development of many young researchers.
In the Master’s programme, students acquire the theoretical foundation and practical skills essential for astrophysical research, including numerical simulations, programming, and data analysis. Through advanced coursework and individual research projects, they deepen their understanding of key topics such as cosmology and galaxy formation, while developing the ability to present and publish their work under my guidance.
Our research team actively supports individuals who, during their doctoral studies, have acquired advanced knowledge in physics, astronomy, and computational science, developed expertise in simulation techniques, visualisation, and data analysis, and are now pursuing excellence in academic or non-academic fields. We actively utilize the following programs to support research activities and enhance career paths: the University of Tsukuba Dual Degree Programme, the University of Tsukuba Doctoral Student Support Project, and the JSPS Research Fellowships.
JSPS Research FellowshipsThe JSPS Fellowship provides outstanding young researchers in Japan the opportunity to devote themselves to research while independently choosing a research topic based on their own ideas. It supports their research through grants and scientific research funding.
This program provides excellent University of Tsukuba doctoral course students with benefit-type support expenses, equivalent to living and research expenses.
This programme allows doctoral students at the University of Tsukuba to also enroll in a master's programme in another specialization, enabling them to obtain both degrees simultaneously. Three students from our group have obtained a PhD in astrophysics and an MSc in High Performance Computing through this programme. Additionally, one student is currently using this scheme to conduct research in Dark Matter and Machine Learning.