Brunel University of London

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.

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

Based in the College of Health, located between the Adelaide Health & Medical Sciences Building, and the Clinical Hospital Teaching sites (Lyell McEwin, Modbury, The Queen Elizabeth, Royal Adelaide) Part-time (0.3 FTE), continuing position Salary range: $114,917-$135,932 per annum (pro rata), plus clinical loading (if applicable) (plus 17% superannuation) At Adelaide University (AU), we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Role Summary The School of Medicine are seeking a dynamic and highly motivated lecturer to be part of a team of clinical site lecturers who assist in the delivery of clinical practice curriculum for our Year 3 students. In this role you will collaborate closely with other academics to ensure the effective integration of content in workshop and tutorial activities. This is an exceptional opportunity for an academic with a background in teaching and clinical practice to contribute to medical education for the AU. You will demonstrate excellent interpersonal skills, as the role involves liaising with casual tutors, academics and clinical titleholders. Due to timetabling limitations, availability to work on Tuesdays is essential. Knowledge of assessments is desirable as the role requires you to assist with the delivery and development of workplace-based assessments and OSCE’s. Work that matters The successful candidate will primarily be based at one of the Clinical Hospital Teaching sites, playing a pivotal role in the delivery of teaching and assessment, and coordination of site-based teaching activities. Join a renowned academic institution and hospital network dedicated to excellence in medical education. Curious to learn more? please see below to discover more about this opportunity. The team The appointee will report to the Academic Lead Undergraduate, in the School of Medicine This role encompasses educational skills, academic support, and administrative responsibilities across both institutions, requiring a commitment to excellence in teaching, research, and clinical practice. Visit the AU website to learn more about The College of Health. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is well suited to someone who enjoys variety and meaningful interaction. You will engage with students, clinicians, researchers and the wider community across both academic and healthcare settings, with a broad range of responsibilities that keep your workday interesting and engaging. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: To be successful you will need: Current valid AHPRA registration as a medical practitioner with experience working in Australia as a medical practitioner and an awareness of clinical resources to ensure teaching materials reflect best practice. Valid Central Adelaide Local Health Network (CALHN) Public Patient Indemnity insurance or a commitment to arrange this prior to commencement if required. Demonstrated experience in innovative teaching methods at a tertiary level &/or postgraduate qualifications in medical education. Proven ability to contribute successfully to a multidisciplinary work environment, including excellent communication and organisational skills and the ability to work as part of a team. Demonstrated experience with online learning management systems and information technologies to support student learning. A student-focussed approach to education, including the ability to provide and respond to high-level feedback. Our commitment to inclusion and diversity  We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.  Launch your future with Adelaide University now  Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter explaining your interest and suitability for the role. The online application form will list the specific selection criteria that you need to address.  Submit your application by 11:30pm Friday 29 May 2026 Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. For further information about this opportunity, please contact (quoting reference number 493013):  Dr Matthew Arnold Program Director Bachelor of Medical Studies  +61 8 8313 3620 | matthew.j.arnold@adelaide.edu.au Pursuant to the Child Safety (Prohibited Persons) Act 2016 (the Act) and the Child Safety (Prohibited Persons) Regulations 2019 (the Regulations), this position has been deemed prescribed. This role will require the successful candidate to hold a current Working with Children Check.