Chosun University

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

Position Details Full Time | Continuing Academic Level E I AU$217,876 plus 17% Superannuation Location: Tonsley / Kaurna Country / Australia View Position Description View Candidate Brochure About the Role: Flinders University’s College of Science and Engineering is seeking an internationally recognised research leader in AI-Driven Software Engineering to provide strategic academic leadership in advanced software engineering. This role offers the opportunity to drive world-class research, secure competitive external grants, supervise research students, deliver outstanding teaching, and mentor colleagues. You will also build strategic collaborations across the University, industry, and international partners to strengthen the College’s research and teaching impact. As a Professor in Software Engineering, you will also: Provide internationally recognised research leadership in AI-Driven Software Engineering and related advanced software systems domains. Establish, build and lead a world-class research and teaching group. Secure and lead major competitive national and international research funding. Publish sustained high-impact research in leading discipline journals and top-tier international conference proceedings. Supervise doctoral candidates to completion and expand the HDR cohort in strategically aligned research areas. Lead major interdisciplinary research initiatives aligned with College and University priorities. Provide strategic leadership across the computing discipline, shaping curriculum direction to align with emerging technologies and industry needs. Deliver outstanding, research-informed teaching in advanced software engineering and AI-enabled systems. Foster strong collaborative partnerships across the University, industry, government and international institutions. This position is open to national and international candidates, and relocation and visa support is available. About You: You are a distinguished academic with a globally recognised research profile in AI-Driven Software Engineering (or closely related advanced software systems domain) and demonstrated excellence in research, teaching, and leadership. You will also demonstrate: Completion of a PhD, or equivalent qualification in an area of computing relevant to software engineering or closely aligned computing discipline. A distinguished international research reputation, evidenced by sustained publication in top-tier journals and premier conference venues. A proven track record of research and securing significant competitive research funding at national and/or international level. Demonstrated capacity to establish and lead a high-performing research group. Strategic academic leadership experience, including shaping research agendas and curriculum innovation. Excellence in HDR supervision and academic mentorship. Outstanding teaching and educational leadership, including curriculum development, innovative delivery, and mentoring of colleagues. About the College of Science and Engineering At the College of Science and Engineering we believe in the power of science and engineering to solve real world problems. Our vision is to provide internationally recognised science and engineering education programs that are accessible, student centred, innovative and impactful. As well as being globally recognised for our research to advance science and engineering by creating new technologies that make our world more connected, secure, healthy, and sustainable. We seek to understand the past, but also to create the world of the future. Our College is an exciting place to research, study, and work, supported by best practice teaching methods, practical work-related learning, and advanced facilities. Why Flinders University? At Flinders University, we embrace and celebrate diversity and are committed to achieving gender equality in employment by identifying and removing any discriminatory employment barriers and taking action to promote gender equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts towards achieving gender equity. Ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?  Ranked in the top 2% of universities worldwide. Ninety per cent of Flinders research has been ranked at ‘world standard or above’ by Excellence in Research for Australia (ERA). 17% Superannuation + salary packaging options  Flexible working arrangements  Wide range of professional development activities, funds and services, such as Flinders University’s Researcher Development and Leadership Programs. Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. How to Apply and Information You are required to submit a CV and a two-page Suitability Statement addressing the key position capabilities of the position description. For more information regarding this position, we strongly encourage you to please contact Professor Trish Williams Applications to be submitted before 10:00 pm (ACST) on Thursday, 4 June 2026. Please note, late applications and applications sent via agencies will not be accepted. 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. Certification Applications to be submitted before 10.00pm: 04 June 2026 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. Flinders. Fearless.

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.