Toho University
About Toho University
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Key Student Statistics
A breakdown of student statistics at Toho University
- Student gender ratio
- 55 F : 45 M (1)
- International student percentage
- 1% (1)
- Students per staff
- 13.6 (1)
- Student total
- 5275 (1)
Based on data collected for the (1) World University Rankings 2026
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Postdoctoral Researcher, Industrial Intelligent Agent Research Center
Xi'an Jiaotong-Liverpool University
China, Suzhou
Xi'an Jiaotong-Liverpool University
China, Suzhou
ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals, and participate in applying for domestic and international patents. Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent teamwork spirit. Outstanding written and oral communication skills in both Chinese and English. 2. Industrial Digital Twin and Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed technologies in real industrial environments. Publish high-quality academic papers and participate in writing research grant proposals. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES systems is preferred. Excellent teamwork and communication skills. PERSONAL ATTRIBUTES Initiative: applicants should demonstrate a proactive and self-driven approach to work and should take the initiative to identify research opportunities, propose new ideas, and seek solutions to research challenges; Collaboration: The ability to communicate effectively, listen actively, and contribute constructively to group discussions is essential for successful collaboration; Resilience: applicants should demonstrate resilience and perseverance, maintaining a positive attitude and adaptability in the face of setbacks or unexpected outcomes; Ethical conduct: applicants should adhere to ethical guidelines, promote responsible research practices, and ensure the safety and well-being of themselves and others in the research environment. These personal attributes, combined with the required qualifications and expertise, contribute to the overall effectiveness and success of postdoctoral researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS: Details refer to the University Policy Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Interested applicants are required to submit the application with the following files. Please combine the following application materials into a single PDF file and title it "Digital Twin and Control Systems Postdoc Application – Your Name", Detailed CV (including list of publications) Research Statement (summarizing past research achievements and future research interests) Three representative publications Three reference letters (or contact information for referees) For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.
Salary
Competitive salary in the market
Posted
20 Apr 2026
Professor Medical Education
Flinders University
Australia, Adelaide
Flinders University
Australia, Adelaide
Flinders University is seeking to appoint a Professor in Medical Education within their College of Medicine and Public Health. This is a distinguished professorial opportunity to lead at scale, shaping the future of medical education through visionary leadership in teaching, research, and academic governance, and further enhancing the College’s national and international reputation as a centre of excellence. About Flinders Since 1966, Flinders University has been at the forefront of innovation in Australian higher education, shaping the future through bold ideas, pioneering research, and transformative learning experiences. With campuses in Adelaide, rural South Australia, and the Northern Territory, the University is dedicated to advancing knowledge and making a meaningful impact both domestically and internationally. The Role Reporting to the Dean of Education, you will provide strategic leadership across the College, driving excellence and innovation in medical education through four key areas: Education leadership: Leading innovation in teaching quality, curriculum renewal, and academic standards, delivering transformative educational initiatives that advance contemporary medical education practice. Research and scholarship: Sustaining and advancing an internationally recognised program of research in medical education, with a strong track record of high-impact publications and success in securing competitive external funding. Capacity building and mentorship: Strengthening research capability within the College by mentoring early and mid-career academics, fostering collaboration, and leading high-performing research teams. Strategic influence and engagement: Shaping policy and practice in medical education at institutional, national, and international levels, contributing to accreditation activities and broader sector leadership. About You You are an internationally recognised leader in medical education, with the intellectual authority and leadership capability to drive meaningful change. You will bring: A PhD or equivalent qualification, with a distinguished record of leadership in teaching and learning at the tertiary level. An internationally recognised and sustained track record of impactful research in medical education, including high-quality publications and success in securing major competitive funding. Extensive experience leading curriculum and program innovation at institutional and/or national and international levels. Deep expertise in contemporary pedagogies, digital learning, and educational technologies, with the ability to lead innovation and inspire excellence in others. Demonstrated experience in curriculum development, program review, and accreditation processes across complex academic environments. The ability to operate with influence across academic, clinical, and policy contexts. This is an exceptional opportunity to influence the direction of medical education whilst contributing to the development of future healthcare professionals and advancing the discipline through world-class research, innovation, and leadership. At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. In partnership with Flinders University, Perrett Laver will conduct an international executive search process in parallel with the public advertisement of the role. For a confidential conversation, please contact Orla McKibbin orla.mckibbin@perrettlaver.com To apply or download further information on the role please head to Perrett Laver: https://plusportal.perrettlaver.com/VacancyDetail/77e37aeb-e1c3-9df4-82c0-3a20bb17866f Reference number: 8381 The deadline for applications is 9am ACST, Monday 25th May 2026. If you require any reasonable adjustments to assist you in the selection process, please advise us of these so that we can make appropriate arrangements.
Salary
Competitive
Posted
20 Apr 2026
Lecturer (Early Career Faculty) / Assistant Professor/ Associate Professor - IT & AI
Victoria University
India, New Delhi
Victoria University
India, New Delhi
Job Title: Lecturer (Early Career Faculty)/ Assistant Professor/ Associate Professor in IT & AI Job Level: Level A/ B/ C Location: Gurugram, Delhi NCR. Employment Type: Full-Time About Victoria University Victoria University (VU) is a leading dual-sector tertiary institution based in Melbourne, Australia, offering both higher education and TAFE programs. With over 42,000 students globally, including a strong international presence, VU operates across multiple campuses in Melbourne, Sydney, and partner institutions in Asia (Sri Lanka and China). Guided by its strategic plan “Start Well, Finish Brilliantly 2022–2028”, the University aims to become a global leader in dual-sector learning and impactful research. VU is known for its industry partnerships, innovative teaching models, and commitment to creating career-ready graduates while fostering inclusive and future-focused education. In India, Victoria University (VU) is establishing its first India campus in Gurugram, Delhi NCR, scheduled to open in mid-2026, delivering industry-aligned programs with a global curriculum. The Gurugram campus focuses on emerging technologies such as Artificial Intelligence, Data Science, and Information Technology, providing students with international exposure, practical learning, and strong industry connections. Position Summary The Lecturer (Early Career Faculty)/ Assistant Professor/ Associate Professor in IT & AI (Level A/B/C) will play a pivotal role in advancing teaching, research, and curriculum innovation within the Information Technology Program under the College of Arts, Business, Law, Education and IT. This position focuses on integrating Generative AI (GenAI) and Large Language Models (LLMs) into teaching, research, and industry engagement. The successful candidate will contribute to program growth by modernising courses, increasing student enrolments, and strengthening expertise in AI, cybersecurity, data science, and ICT management. Indicative Areas of Expertise Artificial Intelligence & Generative AI (LLMs, RAG, copilots) Cybersecurity & Network Management Data Science & Analytics Cloud & Mobile Application Development Software Development & UI/UX ICT & Project Management Key Responsibilities 1. Teaching & Coordination Deliver and coordinate IT units across onshore and transnational campuses (Sydney, Brisbane, Sri Lanka, China). Integrate GenAI tools (LLM APIs, RAG systems, copilots like Claude Code/OpenAI Codex) into at least two units annually. Design assessments, ensure marking consistency, and maintain academic standards. 2. Curriculum Innovation & Student Experience Lead course modernisation using GenAI-driven teaching methodologies (flipped, hybrid, online). Continuously update curriculum aligned with industry trends and emerging technologies. Enhance student engagement and support enrolment growth initiatives. 3. Research & Scholarship Conduct applied research in LLMs, AI, and related domains. Publish high-quality research (minimum one Q1 or CORE A* paper annually). Develop demonstrable AI systems for lab use and online showcases. 4. Supervision & Mentoring Design innovative honours, master’s, and capstone projects involving GenAI applications. Supervise undergraduate and postgraduate research students. 5. Service & Industry Engagement Contribute to research grant proposals and industry collaborations. Participate in academic administration, quality assurance, and compliance activities. Engage with industry partners and maintain cross-cultural collaboration. Qualifications & Selection Criteria Essential Assistant Professor: PhD (or equivalent) in Information Technology, Artificial Intelligence, or a related discipline. Lecturer (Early Career Faculty): Master’s degree and/or currently a PhD candidate in Information Technology, Artificial Intelligence, or a related discipline. Relevant teaching experience Demonstrated expertise in GenAI/LLMs (API integration, RAG, copilots). Strong teaching capability across IT domains. Proven research track record (Q1 / CORE A* publications). Experience in curriculum development and GenAI integration. Ability to design real-world AI-driven systems. Strong communication, organisational, and interpersonal skills. Commitment to professional standards, ethics, and university policies Desirable Experience securing competitive research funding. Application Requirements Applicants are required to submit with the following documents: Resume (Curriculum Vitae) Cover Letter If you experience any issues while submitting your application, please email: career@daskalos.com
Salary
Competitive
Posted
20 Apr 2026
Research Scientist in the Center for Brain and Health – Drs. Bas Rokers and Kartik Sreenivasan
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Center for Brain and Health (CBH) (https://brainandhealth.org/) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The Research Scientist will be a key member of a multidisciplinary team responsible for collection, c, MEG, EEG, and eye tracking. The tentpole of the CBH is a normative brain database - the first of its kind in the region - that includes structural, functional, and diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires Candidates must hold a Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or equivalent is preferred. This position requires extensive experience with multimodal MRI, including functional and structural MRI and tractography. Experience with big data analysis techniques is essential. Experience working with other large brain databases is preferred. The ideal candidate will possess strong computational skills and a strong publication record. Terms of employment include competitive salary and benefits. Applications will be accepted immediately. To be considered, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests, three representative publications, and three letters of reference, all in PDF format. For instructions and information on how to apply, please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html. If you have any questions, please email rokers@nyu.edu or kartik.sreenivasan@nyu.edu The anticipated appointment starting date is May 1, 2026, with funding guaranteed for a term of 18 months and opportunity for renewal of the position for additional years following performance evaluation. The terms of employment include highly competitive salary, housing allowance, and other benefits. 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.
Salary
Competitive
Posted
20 Apr 2026
Research Fellow (Human-in-the-Loop AI Perception System) - LX
Singapore Institute of Technology (SIT)
Singapore
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 primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV). 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: Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving Work with the research team, collaborators and the industry partner to design the framework of the proposed solution Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be advantageous. Have strong research record, preferably on top-tier computer science/engineering conferences. Key Competencies Specialized in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking skills 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 Show strong initiative and take ownership of work
Salary
Competitive
Posted
20 Apr 2026
Subjects Taught at Toho University
See below for a range of subjects taught at Toho University
Computer Science
- Computer Science
Life Sciences
- Biological Sciences
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy