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Hanze University of Applied Sciences

Groningen, Netherlands
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About Hanze University of Applied Sciences

Basic information and contact details for Hanze University of Applied Sciences

Hanze University of Applied Sciences (Hanze UAS or the Hanzehogeschool Groningen in Dutch) is the largest university of applied sciences in the northern Netherlands. Located in Groningen, it was founded in 1986 as the result of a merger of several institutes for professional education, the oldest of which was the Academy Minerva, founded in 1798. Hanze UAS offers bachelor and masters programmes in Dutch, English and German and works with several international partner institutes. It was the first university to found its own international business school in the Netherlands and the only large higher education institution in the country to feature an arts academy and conservatoire. As a university of applied sciences, students should expect to gain plenty of practical experience, through integrated internships and practical research. On both a regional and global scale, Hanze UAS is known for its strong links with industry and entrepreneurship. The student body is 27,000-strong, and from over 80 different nationalities. It has locations in Assen (the Hanze Institute of Technology), Leeuwarden (Pop Culture) and in Amsterdam (the Dance Academy), while the remaining 16 faculties are in the centre of Groningen. Most of these buildings are located on the super modern Zernike complex, which is a 15 minute bike ride away from the city centre. Groningen is one of the university’s greatest assets, as the city is the youngest and one of the most loved cities for students in Holland. It is the youngest city in the Netherlands, with half its citizens under 35 and a quarter of the population made up of students. The nightlife scene is constantly buzzing and it has an excellent, affordable range of sports, cultural and educational facilities.

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Post-Doctoral Associate in the Center for Behavioral Institutional Design

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 Center for Behavioral Institutional Design, New York University Abu Dhabi, seeks to recruit several postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies for promoting social welfare. C-BID offers a vibrant and stimulating research environment, with opportunities to engage in high-impact projects and collaborations. Postdoctoral researchers join an active international community of scholars and fellow postdocs and benefit from a world-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration, idea exchange, and visibility, providing an exceptional platform for advancing researchers’ work and academic careers. The ideal candidate is highly ambitious, well-trained, self-motivated, hard-working, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally, a combination of these methods. Excellent communication skills in English, the ability to work in multidisciplinary teams, and scientific creativity are essential. Successful applicants are expected to publish research in leading peer-reviewed journals in social science or leading interdisciplinary journals, and work both individually and in close collaboration with the C-BID team: Olivier Bochet, Nikos Nikiforakis, and John Wooders. The position provides a salary higher than internationally competitive rates for postdoctoral research positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Appointments will be for two years, renewable for at least one additional year conditional on a satisfactory evaluation of performance. Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, applicants must submit a cover letter, a curriculum vitae, a research statement highlighting past and current research experience, a transcript and at least two reference letters, all in PDF format. Note that this position is NOT located in the United States. You must be willing to relocate to Abu Dhabi, UAE. For any questions, please email: Nikos Nikiforakis (n.nikiforakis@gmail.com) or John Wooders (john.wooders@nyu.edu). 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

8 May 2026

Professor of Education

MONASH UNIVERSITY

Monash University

Australia, Clayton

institution

Monash University

Australia, Clayton


Job No.: 691357 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: A competitive remuneration package will apply plus 17% employer superannuation Join the Faculty of Education - ranked number 2 in Australia and 18th globally (QS and THE rankings) Amplify your impact at a global top 50 University - whilst living in the 4th most liveable city in the world Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Education at Monash University invites applications for a Professor of Education to provide outstanding academic leadership and drive internationally leading research. This is a strategic appointment for a globally recognised scholar with a strong track record of high-impact publications and success in securing major competitive research funding. The successful candidate will play a pivotal role in shaping the Faculty’s research agenda, strengthening interdisciplinary collaboration, and enhancing our global reputation for excellence in education research. Ranked #2 in Australia and #18 globally for Education (QS & THE Rankings), the Faculty offers an ambitious and collaborative environment with significant capacity for research growth and impact. The appointed Professor will lead and grow a program of internationally recognised Education research, including securing substantial competitive research funding and building large-scale research initiatives. The appointment will also provide mentoring and capacity building for early- and mid-career researchers and HDR candidates. The Professor will foster strategic partnerships across academia, industry, and policy sectors and provide leadership in teaching and curriculum development. This role offers a unique opportunity to shape the future of education research and practice within a high-performing and globally connected Faculty of Education.  About You You are an internationally recognised leader in education research, with a distinguished record of scholarly achievement and a sustained trajectory of high-quality publications. You bring: A strong track record of securing major competitive research grants and leading large-scale research programs. Evidence of research excellence and impact at an international level. Expertise in quantitative, qualitative, and/or mixed methods research. Proven leadership in building and mentoring high-performing research teams. Success in attracting and supervising high-calibre HDR students. Experience developing impactful partnerships across sectors, including government, industry, and community. You will demonstrate the capacity to shape research directions at scale, influence policy and practice, and contribute to a vibrant, collaborative academic culture. Applicants from all areas of Education and Educational Psychology are encouraged to apply. About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.  Learn more about Monash. Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents. To Apply For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Applicants are required to submit a written response addressing each of the Key Selection Criteria, not exceeding two pages in length. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Mary Ryan, Dean, Faculty of Education, Mary.Ryan@monash.edu Position Description: Professor of Education Applications Close: Sunday 7 June 2026, 11:55pm AEST

Salary

Competitive

Posted

8 May 2026

Biological / Physical Anthropologist (Assistant Professor)

MASARYK UNIVERSITY

Masaryk University

Czech Republic, Brno

institution

Masaryk University

Czech Republic, Brno


Department: Department of Anthropology – Faculty of Science Deadline: 10 Jun 2026 Start date: 01.09.2026 or negotiable Job type: full-time Job field: Project management, grants | Science and research | Education and schooling Dean of the Faculty of Science, Masaryk University announces an open competition for the position Biological/Physical Anthropologist (Assistant Professor) Workplace: Department of anthropology, Faculty of Science, Masaryk University, Czech Republic Type of Contract: temporary position with 3-year contract (with possible extension), academic Working Hours: 1 FTE (full-time employment of 40 hours per week) Expected Start Date: 1. 9. 2026 or negotiable with respect to immigration timelines for non EU candidates Number of Open Positions: 1 Pay: negotiable Application Deadline: 10. 6. 2026 EU Researcher Profile: R2 About the Workplace Masaryk University is modern, dynamic and the most attractive university in the Czech Republic with ten faculties, more than 7 000 staff and 33 000 students, a wide range of research areas and a strong international position. We are the largest academic employer in the South Moravian Region. Faculty of Science MU, a holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. Department of Anthropology at the Faculty of Science MU is an academic, research- and education-oriented institution which focuses on the study of interactions between biological, social and cultural aspects of humankind. We are a modern institution oriented on current trends in education, offering Bachelor’s, Master’s and Ph.D. degrees, consistently with more than a hundred of students in the undergraduate programs and currently with six students in the Ph.D. program. From the very beginning, students are offered intensive training in topics of biological and socio-cultural anthropology. They are encouraged to participate in department’s research projects which contributes crucially to their success in the job market after graduation. The research activities are anchored in the tradition embodying the biological and the behavioral aspect of mankind. Many of our top-tier research projects aim to apply scientific knowledge in practice – emphasis is given on developing methods for the fields of forensic anthropology or on multi-disciplinary collaboration projects which address nutritional status or modelling of human growth and development in childhood and adolescence. The department’s labs are equipped with cutting-edge technologies for 3D data acquisition of human body morphology and advanced biological data processing. In addition, advanced evaluation of nutritional status and other somatic characteristics as well as assessment of prehistorical and historical skeletal remains is conducted in our facilities utilizing state-of-the-art equipment. Currently, the Department of Anthropology includes cca 20 faculty members and researchers who are involved in teaching, conducting research and promoting science. For more information, please visit its website at https://www.muni.cz/en/about-us/organizational-structure/faculty-of-science/314070-deptof-anthropology. Job Description: The candidate for the position is expected to carry out pedagogical and creative tasks (scientific, research & development, innovative and others) in accordance with mission of the Faculty, activities of the department and ongoing research projects. He or she is expected to be involved in teaching and development of study programmes, research & development, promoting of science & dissemination of research results, and to participate in academic authorities and other bodies. He or she is also expected to carry out additional administrative and operational activities related to the type of work and departmental duties, as per instructions of the direct superior. Key Duties: To teach current courses (introductory to specialty for the undergraduate and graduate program. To conduct research falling under or closely related to evolutionary oriented physical/biological anthropology. To advise/mentor students, to participate in academic and program-related committees, and to participate in traditional academic functions. To seek external funding for his/her own research activities in the field of skeletal anthropology/bioarcheology, preferably including field surveys and excavations. Skills and Qualifications: The applicant must have: Degree (Master's and Ph.D. degrees or equivalent degrees) in Anthropology or other closely related field from an accredited institution. Knowledge and understanding of theories, concepts and approaches relevant to the field of physical/biological anthropology. Conceptual analytical and evaluative skills to conduct independent research and analysis in the field of physical/biological anthropology. Excellent communication and didactic skills. Teaching experience and the ability to design and develop innovations in education. Scholarly achievement which may include peer-reviewed and other publications (books, monographs, applied research reports). Experience with extramural grants and contracts, grant proposal design, project management. Evidence of quality instruction, curriculum design, and supervision of student projects where appropriate. Evidence of service relevant to the university, academic profession, and/or community.  Good communication skills, fluency in English (spoken and written) is required. The knowledge/understanding of Czech language is preferred but not excluding. The applicant should have: at least 5 years of combined professional experience both at national and/or international level, as a physical or biological anthropologist, experience in or on academic circles. Informal inquiries about the position can be sent to Mgr. Tomáš Mořkovský email: morkovky@sci.muni.cz, phone +420 549 494 157. We Offer: An interesting job in a dynamically-expanding university area. Flexible working hours and occasional home office to support personal needs in family and career compatibility. Employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution/long-term investment product/nursery/children´s group allowance, a financial meal allowance, lunches in canteens of MU, Multisport card, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer by Vodafone, childcare groups at Campus and Komenského náměstí). Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo). Welcome Office provides support with your relocation to Brno. Application Process: The application shall be submitted online by 10. 6. 2026 via an e-application, please find the reference to the e-application in the beginning and end of the advertisement. The candidate shall provide following: CV. Cover letter describing candidate's research interest and experience. Summary of research outputs and publications. Names and contact details of at least 2 references. After submitting your application successfully, you will receive an automatic confirmation email from jobs.muni.cz. Selection Process: Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers. Selection criteria: (i) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here. Faculty of Science, Masaryk University is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Visit our Career page. We are looking forward to hearing from you!

Salary

Competitive

Posted

8 May 2026

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

8 May 2026

Senior Lecturer in Big Data & Artificial Intelligence

Oxford Brooks College, Chengdu University of Technology

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu

institution

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu


Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Big Data & Artificial Intelligence Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Big Data and Artificial Intelligence, a programme designed to equip students with the advanced technical skills and theoretical foundations required to excel in the rapidly evolving fields of data science, machine learning, and artificial intelligence. If you are an educator passionate about shaping the next generation of AI and data science professionals, we want to hear from you. The Role You will deliver high-quality, practical teaching across the programme's core modules, which cover the full spectrum of data science and AI. Your teaching portfolio will include: Programming and Software Tools (COMP7001): Introducing students to the principles of programming, software engineering, and the use of software libraries for data science and AI solutions. Principles of Data Science (COMP7035): Guiding students through data collection, processing, analysis, and visualisation methodologies, with an emphasis on data security and privacy. Machine Learning and Data Mining (COMP7034): Teaching students the fundamentals of machine learning algorithms, data mining techniques, and responsible AI practices, including model evaluation, bias mitigation, and ethical considerations. Statistical Modelling (COMP7036): Equipping students with regression analysis techniques, generalised linear models, and advanced statistical methods essential for robust data analysis. Research Methods (COMP7037): Preparing students to conduct rigorous, ethical research, including literature review, project planning, and understanding of professional and legal issues in computing. Group Software Project (COMP7029): Facilitating collaborative, live project experiences where students apply software production principles, project management, and teamwork to solve real-world problems. MSc Dissertation in Computing Subjects (COMP7039): Supervising students through their final research project, guiding them from proposal to final thesis. This role requires a strong technical foundation combined with the ability to teach complex concepts in an accessible, applied manner. You will guide students through the entire data science lifecycle, from data preparation and exploratory analysis to machine learning model deployment and evaluation, always with an emphasis on ethical practice, information security, and responsible innovation. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across data science, machine learning, AI, and software development modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and data science tools to collect, process, analyse, visualise, and model complex datasets. Guide students in understanding the ethical, legal, and security implications of AI and data-driven systems, fostering a culture of responsible practice. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied AI and data science problems. Facilitate group software projects, helping students develop collaboration, project management, and technical documentation skills. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Uphold the highest standards of education and scholarly engagement. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach practical programming and data science skills, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data science and AI (e.g., Python, R) and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). A strong understanding of machine learning algorithms, statistical modelling, and data mining techniques. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in AI, machine learning, data science, or a related field, evidenced by publications. Experience with industry collaboration or applied AI/data science projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies. Experience facilitating group projects or industry-sponsored live projects. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Big Data and AI. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.

Salary

Competitive

Posted

8 May 2026

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