Bakrie University

The Organisation RMIT University is a global university of technology, design and enterprise and built for relevance, impact and scale. We create transformative experiences for learners and deliver real‑world impact through education, research, innovation and deep engagement with industry, communities and government. With campuses across Melbourne and a strong international footprint in Vietnam and Europe, RMIT is proudly global and distinctly applied. We don’t sit on the sidelines - we partner and shape what’s next. Our people are central to our success. Guided by our values of Inclusion, Imagination, Integrity, Courage, Passion and Impact, RMIT is a place where ideas move quickly, leadership is shared and diverse perspectives are not only welcomed, but expected. We respectfully acknowledge the Woi Wurrung and Boon Wurrung peoples of the eastern Kulin Nation as the Traditional Owners of the lands on which our campuses stand, and we are committed to reconciliation and Indigenous self‑determination across our systems, culture and decisions. The Role Reporting to the Vice‑Chancellor and President, the Provost is RMIT’s senior academic leader, responsible for the coherence, quality and performance of the University’s academic mission across education and research, including RMIT Vietnam. The Provost leads at scale, with end‑to‑end responsibility for academic strategy, policy, performance and investment across Colleges, Vocational Education, and Research and Education portfolios. This is a role with real authority and real consequence - shaping how a large, complex, dual‑sector university delivers on its purpose. As a trusted partner to the Vice‑Chancellor and a key member of the University Executive Committee, the Provost works across the enterprise to drive academic excellence, enable strong governance and balance ambition with disciplined execution and risk management. The role has line‑of‑sight leadership of the Deputy Vice‑Chancellors across academic colleges, Vocational Education, Research & Innovation and Education, as well as the Pro Vice‑Chancellor, RMIT Vietnam. Central to the role is building a strong “one RMIT” mindset -connecting disciplines, sectors and geographies, while representing the University with credibility and influence at the highest national and international forums. The Person You are a credible, contemporary academic leader with a strong record of leadership at senior executive level in large, complex organisations. You bring deep expertise across both education and research, and a clear understanding of how technology, data and AI are reshaping the academic landscape. You lead through influence rather than position. An exceptional communicator and collaborator, you are comfortable engaging governing bodies, senior leaders, partners and policymakers and you know how to translate strategy into outcomes at scale. Strategic and future‑focused, you are equally comfortable in detail, able to navigate regulatory complexity, governance expectations and financial realities without losing sight of academic quality or impact. Most importantly, you role‑model inclusive, values‑led leadership aligned to RMIT’s Be–Know–Do framework, and you are motivated by purpose, scale and the opportunity to shape what comes next. How to Apply For further information or a confidential discussion, please contact the consultants leading the search: Andrea Ripani, Head of Delivery, at Andrea.Ripani@odgers.com or on +61 428 806 805 or Jenny Sutton Jenny.Sutton@odgers.com Applications will close on Thursday 4 June 2026 and should be submitted via the Odgers website www.odgers.com/95761

Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Management and Business Analytics 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 Management and Business Analytics, a programme designed to equip students with the unique combination of technical analytical skills and strategic leadership capabilities required to thrive in today's data-driven business world. If you are an educator who can bridge the gap between data science and management practice, we want to hear from you. The Role You will deliver high-quality, engaging teaching across the programme's core modules, which integrate management theory with practical business analytics. Your teaching portfolio will span both the analytical and leadership dimensions of the curriculum, including: Business Analytics & Data-Driven Core: Business Analytics (AISO7003): Guiding students through data preparation, visualisation, and modelling using analytical tools and programming languages. Data Driven Decision Making (AISO7004): Teaching students to apply decision science frameworks and simulation techniques under conditions of uncertainty. The Practice of Data Analysis (AISO7002): Equipping students with statistical and econometric skills to examine data and produce actionable business intelligence. Business Intelligence (AISO7001): Demonstrating how to collect, integrate, analyse, and present business information to support strategic decisions. Management & Leadership Core: Organisational Behaviour, Leadership and Change (BMGT 7077): Exploring the human and cultural dimensions of managing change in modern, diverse organisations. Developing Skills for Leadership and Employability (BMGT 7076): Fostering students' self-awareness, reflexivity, and interpersonal skills for effective leadership and career development. Research Methods (BMGT 7021): Preparing students to conduct rigorous, ethical research, culminating in a dissertation or client project with a business analytics focus. This role requires a unique ability to help students understand how analytics informs leadership decisions. You will teach students to move from data preparation and statistical analysis to strategic interpretation and managerial action, always with an emphasis on ethical practice, sustainability, and responsible management. 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 both business analytics and management/leadership modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and statistical software to analyse data, while simultaneously developing their leadership, communication, and change management capabilities. Guide students in understanding how data-driven insights translate into strategic business decisions, fostering a holistic approach to management. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied business analytics problems. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. 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. Uphold the highest standards of education and scholarly engagement, integrating principles of sustainability, ethics, and responsible management into your teaching. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Business Analytics, Management Science, Data Science, Organisational Behaviour, or a closely related field with a strong quantitative focus. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach both technical analytics skills and management/leadership concepts, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data analysis (e.g., Python, R) and statistical software. A strong understanding of management principles, including organisational behaviour, leadership, and change management. 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 business analytics, data-driven decision-making, or a related field, evidenced by publications. Experience with industry collaboration or applied analytics projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with business intelligence tools and platforms. Experience teaching or working at the intersection of data analytics and management practice. 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 Management and Business Analytics. 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.

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.