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ETH Zurich

Ranked
Zurich, Switzerland
11th in World University Rankings 2026
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About ETH Zurich

Basic information and contact details for ETH Zurich

institution

Established in 1855 as the Federal Polytechnic School, a century and a half later ETH Zurich is now considered among some of the world's most prestigious universities in science and technology.

The institute has produced over 20 Nobel Prize Laureates, including the father of modern physics and the inventor of the general theory of relativity Albert Einstein.

The university, commonly known as Swiss Federal Institute of Technology Zurich or Poly for short, has based its success on Swiss traditions of cherishing fundamental principles of freedom, individual responsibility, entrepreneurial spirit and open-minded approach to education. It remains a European research pioneer, which tries to offer practical solutions, which address worldwide challenges.

With 16 departments that conduct solid academic interdisciplinary research in subjects ranging from architecture and biology to chemistry and physics, the university makes a notable contribution to the global science and technology industry.

To achieve this, ETH Zurich heavily relies on its strong ties with researchers, foreign partners and key stakeholders who also support its cutting-edge research.

Located in Zurich, Switzerland's largest city, ETH Zurich is largely based on a modern main campus built in the outskirts of the town, with a significant endowment.

Students, who follow an intensive course of academic study, have the chance to attend regular exhibitions and concerts, but also to benefit from the numerous academic events held on campus, acting as a meeting point for some of the best scientists in Europe.

Since the 1880s, university students have had the opportunity to hit the dancefloor at the classic ball event Polyball, enjoying the performance of a live orchestra and famous national singers.

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Key Student Statistics

A breakdown of student statistics at ETH Zurich

gender ratio
Student gender ratio
33 F : 67 M (1)
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International student percentage
44% (1)
student per staff
Students per staff
15.5 (1)
student
Student total
23106 (1)

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

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Professor(s)/ Associate Professor(s)/ Assistant Professor(s), Faculty of Law

CHINESE UNIVERSITY OF HONG KONG

The Chinese University of Hong Kong

Hong Kong

institution

The Chinese University of Hong Kong

Hong Kong


Applications are invited for:- Faculty of Law Professor(s)/ Associate Professor(s)/ Assistant Professor(s) (Ref: 2500025F) (Closing date: January 31, 2026) The Faculty of Law at The Chinese University of Hong Kong (CUHK LAW) is one of the most dynamic and accomplished research-intensive law schools in Asia. Since welcoming its inaugural student cohort in 2006, CUHK LAW has earned international recognition for excellence in legal research and education. This reputation is affirmed by the latest Research Assessment Exercise (2020) conducted by Hong Kong’s University Grants Committee, in which 83% of the Faculty’s research output was rated as “world-leading” (4*) or “internationally excellent” (3*). With a strong global outlook, our academic staff represent nearly twenty jurisdictions through their origins or training. CUHK LAW now invites applications for appointment as Professor, Associate Professor, or Assistant Professor. The Faculty upholds a robust and ambitious research culture, with research excellence firmly at the core of its academic mission. We place particular emphasis on high-quality scholarship that advances disciplinary debates and contributes meaningfully to global and regional conversations in law. Candidates for appointment at the Professor level are expected to have an established record of academic leadership in research and/or education at the international level. They should demonstrate a sustained trajectory of influential scholarship and a proven ability to mentor colleagues in advancing the Faculty’s research profile. Appointees at the Associate Professor level should have an internationally recognised reputation for research excellence and a proven capacity to contribute to the Faculty’s research profile. Candidates at this level should already possess a strong portfolio of high-impact publications and a clear scholarly agenda of continuing distinction. Candidates for Assistant Professorships should have completed their doctorate by the time of appointment and either possess a strong record of quality publications or demonstrate clear potential to develop into a productive and impactful scholar. Clear evidence of a coherent research trajectory and commitment to producing high-quality outputs will be essential. The Faculty particularly welcomes applications in foundational common law subjects (especially private law subjects), artificial intelligence and law, banking and finance law, intellectual property law, and PRC law. Exceptionally well-qualified candidates in other areas may also be considered. Applicants should complete the online application form and upload the following documents: (a) a cover letter (maximum 2 pages); (b) a full curriculum vitae; (c) a teaching statement (maximum 2 pages); and (d) a statement of major research and scholarly achievements (maximum 3 pages), highlighting up to four representative publications or research outputs from the past five years, with a description of their originality, significance, and rigour. Appointments will initially be made on fixed-term basis of up to three years, with the possibility of renewal subject to mutual agreement and satisfactory performance. The current starting base salary, payable over 12 months, is HK$80,825 per month (approximately US$10,350 / £7,800 per month) for Assistant Professors; HK$100,050 per month (approximately US$12,825 / £9,650 per month) for Associate Professors; and HK$126,370 per month (approximately US$16,200 / £12,190 per month) for Professors. In addition to the base salary, appointees are eligible for a monthly housing allowance and an end-of-contract gratuity, subject to prevailing terms and conditions. CUHK LAW is committed to promoting diversity and warmly welcomes applications from candidates whose backgrounds and experiences will enrich the intellectual and cultural life of the Faculty. Further information about CUHK LAW is available at http://www.cuhk.edu.hk/law. The application deadline is 31 January 2026, and applications will be considered on a rolling basis. We regret that we will only be able to contact candidates selected for further consideration. Prospective applicants are welcome to contact the Dean of the Faculty at deanoflaw@cuhk.edu.hk for informal inquiries. Application Procedure The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.

Salary

HK$80,825 - HK$126,370 per month

Posted

22 Dec 2025

International Office Director

UNIVERSITY OF LEEDS

University of Leeds

United Kingdom, Leeds

institution

University of Leeds

United Kingdom, Leeds


Shape the global future of one of the UK’s leading universities. The University of Leeds is a world-class institution, ranked among the UK’s top ten research universities and in the global top 100 (QS World Rankings 2026). With a proud history of academic excellence and a bold vision for the future. Our mission is to harness its expertise in research and education to advance knowledge, transform lives and shape a better future for communities, the region and the world. We are seeking an exceptional leader to join us as International Office Director. This is an exciting opportunity to influence the University’s international strategy at a key point in delivering our ambitious 2020–2030 plan, Universal Values, Global Change. About the Role Reporting to the Marketing Director, you will lead the University’s international agenda, driving student recruitment, transnational education partnerships, and the International Pathways Centre. You will oversee a UK-based team and five overseas offices in Malaysia, China, Brussels, Nigeria, and India, ensuring agile responses to global market opportunities and challenges. Key responsibilities include: Leading international student recruitment in line with our Student Recruitment Strategy. Developing and managing strategic transnational education partnerships worldwide. Shaping and delivering institution-wide international strategic plans to enhance profile, partnerships, and recruitment. Representing the University externally to raise its global reputation and influence. Building and motivating a high-performing team, fostering collaboration and continuous improvement. About You We are looking for a visionary leader with: A proven track record in international strategy and global engagement within higher education or a related sector. Experience in partnership development and international collaboration. Strong leadership skills and the ability to manage large teams and complex budgets. Excellent communication, negotiation, and influencing skills. Commercial acumen and deep understanding of the global higher education landscape. The ability to thrive in a complex, fast-changing environment. How to Apply Applications should consist of a CV accompanied by a covering letter addressing the criteria outlined in the person specification. The preferred method of application is online at www.berwickpartners.co.uk/95123 If you are unable to apply online, please email your application to response.manager@berwickpartners.co.uk For an informal and confidential discussion, please contact: Elizabeth James, Partner elizabeth.james@berwickpartners.co.uk Closing date for applications: Midnight Sunday 1st February 2026

Salary

Competitive

Posted

22 Dec 2025

Teaching Faculty Position - Data Engineering and Science

MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi

institution

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi


Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Data Engineering and Data Science to lead a course providing the practical foundation necessary for building robust data workflows essential for modern AI, with a specific focus on Generative AI systems. This role requires delivering expert instruction on all stages of the data lifecycle, including the collection, processing, storage, and analysis of large-scale data. Key topics include data acquisition, quality assurance, statistical profiling, data mining, and the design of scalable data pipelines, with particular attention paid to the rigorous data preparation and curation required for training large generative models (like LLMs). Responsibilities include: Delivering high-quality instruction in Data Engineering, Data Science, and related AI disciplines. Developing and maintaining course content, laboratory exercises, and assessments aligned with current industry standards. Creating an engaging, application-oriented learning environment. Mentoring and advising students in course projects and applied data initiatives. Collaborating with faculty to advance teaching quality and curriculum innovation across programs. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field. Demonstrated expertise in Data Engineering, Data Management, and Data Analytics. Experience with relevant tools and platforms (e.g., SQL, Python, Spark, Hadoop, cloud-based data systems). Strong commitment to teaching excellence and experiential learning. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI

Salary

Competitive

Posted

22 Dec 2025

Teaching Faculty Position - Computer Vision, Machines that See

MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi

institution

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi


Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Computer Vision and Image Processing to lead the course, "Machines that see," which introduces students to core computer vision concepts, a vital area of AI. This role involves delivering expert instruction on Image Processing Fundamentals (including image formation, filtering, and enhancement), feature extraction, object detection, and image classification, while covering both traditional methods and advanced deep learning techniques such as CNNs and Vision Transformers (ViTs). The instructor's responsibilities include developing and maintaining up-to-date course materials, fostering a stimulating learning environment, supervising student projects, and collaborating on curriculum enhancement, ensuring students gain hands-on experience applicable to industries like healthcare and automotive. Responsibilities include: Delivering high-quality instruction in Computer Vision and related AI topics. Develop and maintain course materials, assessments, and laboratory content reflecting current advances in the field. Create a stimulating learning environment that encourages curiosity and innovation. Supervise student projects and provide academic mentorship. Collaborate with colleagues to enhance curriculum design and teaching effectiveness. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field. Demonstrated expertise in Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI

Salary

Competitive

Posted

22 Dec 2025

Post-Doctoral Associate Division of Social Science – Dr. Stephane Helleringer

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 We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Stéphane Helleringer. The collaborative research will be on population health and its determinants in low-and-middle-income countries, with an emphasis on measurement issues and the impact of crises such as epidemics and disasters. The job entails conducting high-quality research on population health and its determinants in low-and-middle-income countries. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through the preparation of peer-reviewed manuscripts, software packages and/or participation in international conferences. Candidates must hold a PhD in demography, epidemiology, public health or related discipline in the social sciences. The ideal candidate is preferred to have prior experience with data collection and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science. For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests and the names of two referees, all in PDF format. If you have any questions, please email Professor Helleringer at sh199@nyu.edu. The review of applications will start on February 1st, 2026, and will continue 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.

Salary

Competitive

Posted

22 Dec 2025

Subjects Taught at ETH Zurich

See below for a range of subjects taught at ETH Zurich

Arts and Humanities

  • Architecture

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

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

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

Social Sciences

  • Politics and International Studies