Capitol University

Flinders University is seeking an outstanding research leader to join us as the Deputy Director of the Flinders Health and Medical Research Institute. This is a rare and exclusive opportunity to help shape a growing, world-class research institute and drive impactful health and medical research across South Australia and the Northern Territory. About Flinders Health and Medical Research Institute Established in 2019, FHMRI brings together approximately 800 researchers and Higher Degree Research students working across the full spectrum of health and medical research, from discovery science to translation and implementation. Structured around three core themes: Molecular Biosciences, Clinical Translation, and Healthy Communities, the Institute delivers multidisciplinary research with real-world impact for our community The Role Reporting to the Dean of Research and FHMRI Director, the Deputy Director will work closely with College leadership, University stakeholders and external partners, leading work across four key meaningful areas: Research excellence and performance: Drive a high-performing research culture, lifting quality, outputs and global competitiveness while strengthening a sustainable funding pipeline. Capacity building and talent development: Support and mentor early and mid-career researchers, building leadership capability and fostering an inclusive, high-achieving environment. Partnerships, engagement and collaboration: Develop and deepen strategic collaborations across health, government, industry, and Aboriginal and Torres Strait Islander organisations and communities. Translation, impact and governance: Accelerate the translation of research into real-world outcomes, maximise impact across diverse communities, and ensuring strong governance and compliance. You will also contribute to the strategic direction of the Institute, deputise for the Director as required, and maintain an active research program. About you You are an accomplished research leader with a strong national or international profile and a track record of achievement and impact in the health and medical research space. You bring: A PhD (or equivalent) and recognised standing in your field. A distinguished research track record, including high-quality publications and success in securing competitive funding. Proven leadership experience, with the ability to inspire and lead high-performing teams. Experience overseeing research infrastructure, facilities and laboratory environments. Strong knowledge of research governance, quality assurance and regulatory requirements. A track record of successful HDR supervision. Excellent relationship-building skills and the ability to engage across sectors. A collaborative, collegiate approach and commitment to inclusion. A clear commitment to research integrity, safety and ethical practice. Why Join Flinders Unmatched experience working in a senior leadership role in a growing, high-impact research institute. Competitive Level E salary with 17% superannuation. Access to leading facilities, including the iconic, state of the art Health and Medical Research Building. Generous staff benefits, including salary packaging, wellbeing support and on-campus childcare. This is a unique opportunity to help shape the future of a dynamic research institute and contribute to improving health outcomes across diverse and often underserved communities. 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. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. 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. For further information and to apply, please submit a CV and covering letter, detailing how you fulfill the role description and personal specification to https://plusportal.perrettlaver.com/VacancyDetail/ed859ac1-8030-86df-2821-3a2102bb88be quoting reference 8417. The deadline for applications is 9am ACST Monday 8th June. 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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 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 Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by the prospective post-doctoral candidate. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Pauline Corblet and Professor Samreen Malik. The collaborative research will be on labor and education economics with a particular focus on structural models tied with labor market surveys to study the role of beliefs in the labor market in both developed and developing economies. We seek a candidate with expertise in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and applying structural models relating to human capital development and labor markets. The position does not require teaching, but it may be possible to get teaching experience for compensation. For consideration, applicants must submit a cover letter, curriculum vitae with a full working paper and publication list, statement of research interests, job market paper, transcript and two letters of reference, all in PDF format. If you have any questions, please email pauline.corblet@nyu.edu or samreen.malik@nyu.edu. Working for NYUAD To help Post-doctoral Associates and faculty thrive, we offer a comprehensive benefits package.This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family. About NYU Abu Dhabi 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. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.