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Institute of Science Tokyo

Ranked
Meguro-ku, Japan
166th in World University Rankings 2026
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About Institute of Science Tokyo

Basic information and contact details for Institute of Science Tokyo

Established on 1 October 2024 through the merger of Tokyo Medical and Dental University and Tokyo Institute of Technology, Institute of Science Tokyo is a new interdisciplinary university located across Tokyo and Yokohama, Japan. It offers innovative education combining science, medicine, engineering, liberal arts and social sciences.

Students can pursue undergraduate and postgraduate degrees, doctoral programmes, study abroad and global exchange opportunities, as well as extracurricular and cross-disciplinary learning experiences. 

Institute of Science Tokyo operates six campuses, including Ookayama Campus, Yushima Campus and Suzukakedai Campus (renamed Yokohama Campus in 2026). 

Facilities include research laboratories, medical and dental training centres, liberal arts and innovation spaces, modern libraries and learning support hubs, and new multidisciplinary centres. 

 

 

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Key Student Statistics

A breakdown of student statistics at Institute of Science Tokyo

gender ratio
Student gender ratio
23 F : 77 M (1)
globe fill
International student percentage
17% (1)
student per staff
Students per staff
8.3 (1)
student
Student total
13407 (1)

Based on data collected for the (1) World University Rankings 2026

Jobs you might be interested in

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Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. References [1] http://tiramisu-compiler.org/

Salary

Competitive

Posted

10 Jul 2026

Associate Professor (Research), Australian Centre for AI in Medical Innovation

LA TROBE UNIVERSITY

La Trobe University

Australia, Bundoora

institution

La Trobe University

Australia, Bundoora


Build strong funding pipelines by proactively identifying emerging opportunities Full Time / 3 Year Fixed Term Appointment / Remuneration from $172,864 / Bundoora Campus Provide high level oversight of research projects and nurture strong industry, clinical and health sector partnerships About the position The Victorian Government has partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI). Founded in 2024, ACAMI is a collaborative centre spanning research, clinical trials, and workforce development at the intersection of AI and healthcare. It supports medical research institutes and industry partners, strengthening Victoria’s globally recognised life sciences ecosystem and ensuring it keeps pace with emerging AI advancements. Reporting to the Director and Chief Scientist of ACAMI, the Associate Professor (Research) will collaborate closely with the Director and Chief Scientist, Director of Development, the ACAMI team, and both internal and external stakeholders to advance ACAMI’s mission. This includes positioning the centre as a commercially sustainable entity that leverages AI, data and innovation to drive transformation and growth across AI-enabled medical and biomedical ecosystems in Victoria. The appointee will be expected to establish, attract and lead new research programs and teams within ACAMI, building capability by bringing together high performing researchers, postdoctoral fellows, academic collaborators, clinical partners and industry stakeholders around key AI-driven medical innovation themes. The role will provide senior research leadership likely in computational biology or AI in biomedicine while strengthening ACAMI’s research profile, expanding its external funding base, and enhancing its translational impact. Duties at this level: Attract, establish and integrate new research groups or research clusters into ACAMI, including identifying complementary research capabilities, engaging internal and external collaborators, developing major research plans and building sustainable programs supported by external funding and strategic partnerships. Secure significant external research funding from both industry and government sources by initiating large-scale competitive research funding proposals and building collaborative partnerships. Lead major research projects and emerging research groups within the Centre, guiding teams under ACAMI’s Director & Chief Scientist to deliver impactful AI solutions for real-world medical, biological and clinical challenges. Collaborate with ACAMI’s Director, Development and relevant University research, commercialisation and partnership teams to identify, protect and progress intellectual property, software, product and implementation opportunities arising from ACAMI research, including industry co-development, licensing, commercialisation or clinical adoption pathways. Skills and knowledge: Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area, such as AI/ML for mRNA, Computational Biology, Biomedical Informatics, Bioinformatics, Computational Medicine, or a related field. A substantial and internationally recognised record of excellence in AI-enabled biomedical, biological, clinical, health or medical innovation, demonstrated by applying AI/ML, computational, data-intensive or related approaches to significant medical and health challenges. A significant record of securing substantial external funding and partner investment to support AI-enabled biomedical, clinical, health or medical innovation, including through competitive grants, industry partnerships, government contracts, philanthropic funding and consultancies, with evidence of using such funding to build research capacity, support research teams and grow sustainable research programs. Please refer to the position description for other duties, skills and experience required for this position. Welcome to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng Benefits 17% superannuation Private Health Insurance discount Plus, many more, click HERE How to apply Closing date: Sunday 9th August, 2026 at 11:55pm Position Enquiries: Distinguished Professor Wei Xiang, ACAMI Director and Chief Scientist, School of Computing, Engineering and Mathematical Sciences, Email: W.Xiang@latrobe.edu.au Recruitment Enquiries: Vicki Stavrou, Senior Talent Partner, Strategy and Senior Appointments Email: v.stavrou@latrobe.edu.au Position Description below: PD-Associate Professor (Research) ACAMI.pdf For further information please click on the La Trobe University and ACAMI Research Scientist Flyer.pdf Please submit an online application ONLY and include the following documents: Cover letter; An up-to-date resume and Address the Key Selection Criteria We’d love to stay connected! If you would like to find out more about this School, please follow us on LinkedIn: School of Computing, Engineering and Mathematical Sciences: https://www.linkedin.com/company/82850345 Only candidates with Full Working Rights in Australia may apply for this position. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.  Our commitment to diversity and inclusion  La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education  La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.

Salary

$172,864 - $190,023

Posted

10 Jul 2026

Post-Doctoral Associate / Associate Research Scientist in the Division of Engineering

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals. To be considered, all applicants must submit the following documents in PDF format via Interfolio: Cover letter Curriculum vitae with full publication list Statement of research interests and plan Transcript 2 Recommendation letters  Three sample (recent and/or most relevant) journal publications Contact details of two references The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled. If you have any questions or require more information, please email: mohamed.moustafa@nyu.edu About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. UAE Nationals are encouraged to apply

Salary

Competitive

Posted

10 Jul 2026

Assistant Professor – Business and Marketing

UNIVERSAL COLLEGE BANGLADESH

Universal College Bangladesh

Bangladesh

institution

Universal College Bangladesh

Bangladesh


About UCBD Universal College Bangladesh (UCBD), an educational initiative of STS Group, is the first transnational higher education (TNE) institution in Bangladesh to deliver fully accredited international programmes. UCBD partners with the University of London (academic direction by LSE), University of Lancashire, and Monash University to provide globally recognized qualifications. Our current offerings include full degrees from the University of London under the academic direction of the London School of Economics, full degrees from the University of Lancashire, pathway programmes to Monash University Australia and Malaysia. Position Summary UCBD invites applications for the position of Assistant Professor in Business and Marketing. The successful candidate will teach relevant business and marketing courses along with leading the business and marketing streams offered under different partner universities. Key Responsibilities Lead and support the learning ecosystem of the Business and Marketing programs. Deliver lectures, workshops, tutorials, and assessments. Support curriculum alignment with different partner universities’ academic frameworks. Engage in research, consultancy, and professional practice. Develop and consolidate contacts with industry/employers and other external organisations. Collaborate with industry partners and UCBD’s academic teams.  Qualifications and Experience Essential: PhD in Marketing, Business, or related field. Master’s and or Undergraduate degree (or equivalent) in a relevant subject. At least 5-7 years of teaching experience (post PhD or combined) in relevant fields. Demonstrated professional expertise and teaching experience in the discipline and/or subject areas being taught at university level. Understanding of the principles of effective assessment design, using formative assessment to improve student performance, and familiarity with international summative assessment standards. Capacity to establish a rapport with students, and the effective communication and interpersonal skills need to engage with students, parents, colleagues and other stakeholders. Familiarity with academic administration through serving on academic committees, working as a programme or subject leader, etc. Desirable Evidence of publications including academic and industry publications and conference presentations. A positive personal work ethic, solid organizational and time management skills, the capacity to tackle multiple responsibilities, prioritize important tasks, and deliver on time. Compensation and Benefits Package Salary Range: USD 3,000–3,500 (net). Negotiable for exceptionally qualified candidates.  Accommodation: Fully furnished, institution-designated apartment located near the campus. Transportation: Pick and drop service provided. Baggage Allowance: USD 500 for the employee and USD 500 for each accompanied dependent (if any). This allowance will be provided twice — upon initial joining and upon final departure. Utilities: Electricity, gas, cable TV, and internet expenses covered by the company as per policy. Medical Insurance: Local medical insurance coverage for the employee and accompanied dependents. Mobile Allowance: Institution-provided SIM card with monthly ceiling as per policy. Air Travel: Annual round-trip air ticket (economy class) to the home country for the employee and accompanied dependents. Education Benefit: Free education (tuition and admission fees) for up to two children at any Cambridge curriculum school under STS. Professional Development: Will be entitled to Professional Development opportunities (relevant to the job role), as per policy. How to Apply Interested candidates are invited to submit their updated CV and cover letter to: career@ucbd.edu.bd Only shortlisted candidates will be contacted. UCBD is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Salary

USD 3,000 – 3,500 (net)

Posted

10 Jul 2026

Research Fellow / Engineer (Renewable Energy and Coastal Protection) - TZY6

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures.  Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes or basins to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

Salary

Competitive

Posted

9 Jul 2026

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Subjects Taught at Institute of Science Tokyo

See below for a range of subjects taught at Institute of Science Tokyo

Arts and Humanities

  • Archaeology
  • Architecture
  • Art, Performing Art and Design
  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Law

  • Law

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science
  • Veterinary Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Geography
  • Politics and International Studies
  • Sociology