Nara Institute of Science and Technology
About Nara Institute of Science and Technology
Basic information and contact details for Nara Institute of Science and Technology
Nara Institute of Science and Technology is located in Kansai Science City, a border region between Nara, Osaka and Kyoto in Japan. The campus is situated in a rural area, yet the nearest station can take students into the major cities of Osaka and Kyoto within 40 minutes.
The university was founded in 1991 with the first masters’ students studying here in 1993 and the first doctoral students in 1996. Back then the university consisted of graduate schools across three areas: information science, biological sciences, and materials science.
In 2018 the focus shifted to continue researching these areas while embracing interdisciplinary research and education across traditional fields. This has resulted in one comprehensive graduate school.
Each year the university attracts around 1,000 students, with over 20 per cent being international and over 20 per cent being female. In addition to the students there are around 200 faculty members and some 170 staff.
Researchers who have worked here or currently work here include Shinya Yamanaka Former professor and winner of the 2012 Nobel Prize for physiology and Kimito Funatsu, the research director of the Data Science Centre and 2019 Herman Skolnik Award winner
As well as academic facilities students here have access to a library, cafeteria, healthcare centre, student union and accommodation. International students will also have priority access to accommodation. There are also multiple extracurricular groups to choose from including the NAIST tea ceremony club, NAIST kung fu and volunteer club and an instrument circle.
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Project Scientist / Project Development Scientist - Organoid Specific
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Professional Officer (All Levels) (Mechanical Systems)
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Singapore Institute of Technology (SIT)
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Clinical Appointment Specialist
Qatar University
Qatar
Qatar University
Qatar
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Salary
Competitive
Posted
26 Dec 2025
Professor and Director, Pan Sutong SH-HK Economic Policy Research Institute
Lingnan University
Hong Kong, Tuen Mun
Lingnan University
Hong Kong, Tuen Mun
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Salary
Competitive
Posted
26 Dec 2025
University Assistant Predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5037 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premises and about 300 quantum researchers in Vienna. The Dakić group is an international team of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/. Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project on the advertised research topics. You will present your research plan to the faculty and complete a dissertation agreement within 12–18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness, as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fulfil some administrative tasks, contributing to the success and self-organization of the group in research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: We expect a strong candidate with the following requirements: You have completed your Master’s degree or Diploma in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. Experience in data-reuploading quantum algorithms, optical quantum computing and quantum machine learning (highly desirable). Experience in machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators (highly desirable). Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world in quantum information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please send us: Your scientific curriculum vitae. A statement on your research interests for the future (motivation letter), with particular emphasis on your experience in optical quantum computing and data-reuploading algorithms, and machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators. Contact information of two referees. Your Bachelor’s and Master‘s degree certificates and transcripts. If you have any content questions, please contact: Borivoje Dakic borivoje.dakic@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/06/2026 (MM-DD-YYYY) Prae Doc
Salary
The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.)
Posted
26 Dec 2025
Subjects Taught at Nara Institute of Science and Technology
See below for a range of subjects taught at Nara Institute of Science and Technology
Computer Science
- Computer Science
Engineering
- Chemical Engineering
- Electrical and Electronic Engineering
- General Engineering
Life Sciences
- Agriculture and Forestry
- Biological Sciences
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy