Burapha University - Chon Buri Campus

Classification: Academic Level B Salary package: $121,598 – $137,870 per annum plus 17% superannuation Term: Full-time, Continuing (Contingent Funded) (up to 31 March 2027)  Position Description and Selection Criteria: Research Fellow This position is Continuing (Contingent Funded) the funding that supports this project has an expected end date of 31 March 2027. Fantastic opportunity to contribute to the successful delivery of a new ARC Laureate Fellowship and world class research initiative: The Planetary Health Equity Hothouse. Be a key member of a world leading and collegial research team Located in Canberra, you will enjoy working in a beautiful campus environment on the city’s doorstep About Us You will be part of the Planetary Health Equity Hothouse, an initiative supported by an ARC Laureate Fellowship on governance for planetary health equity, based in the ANU School of Regulation and Global Governance (RegNet). The Hothouse integrates health, social equity and climate change agendas through the lens of planetary health equity. We examine the political economy of the global consumptogenic system, study the interests, ideas, and institutions involved in governing planetary health equity, and identify innovative governance approaches to enable the development of intersectoral policy and business practices that advance planetary health equity. Ultimately, the Hothouse aims to inform action to address the political, commercial and social determinants of planetary health equity. The ANU College of Law, Governance and Public Policy (CLGP) is a progressive and newly established College that brings together four world-leading academic schools dedicated to shaping the future of law, governance, regulation, policy and population health. As part of Australia’s leading university, the College fosters excellence in research, teaching, and engagement, driving impactful contributions to national and global challenges. The College provides an intellectually rich community, committed to providing a collaborative and supportive environment for academics, students, and professionals to thrive. The School of Regulation and Global Governance (RegNet) is a dynamic community of scholars from different disciplines united by our interest in regulation and governance. For the last 20 years, RegNet has focused on improving the governance of major social, environmental, economic, and health issues by developing new ways of understanding and responding to these complex problems. The school is known for its paradigm-shifting conceptualizations of regulation and governance as well as its collegial and interdisciplinary approach to knowledge production and dissemination. The wider RegNet community reflects these values and is comprised of diverse networks nurtured through deep and sustained engagement. Read more about RegNet: http://regnet.anu.edu.au/ About the opportunity We are seeking a talented and energetic researcher to join the ARC Laureate Fellowship team in the Planetary Health Equity Hothouse. The Research Fellow will undertake research on the politics of planetary health equity in Australia. The aim is to understand how state, market and civil actors advance their interests and influence policy relevant to PHE in Australia. Specifically, the researcher will map the interests, ideas and institutions relevant to planetary health equity in Australia and undertake a power analysis of these using qualitative research methods to identify key points of influence to advance action on PHE. The Research Fellow will join a small, collegial and dedicated team of interdisciplinary researchers, PhD students and visiting fellows. The Candidate will work closely with the ARC Laureate Fellow, Professor Sharon Friel, work as part of the Hothouse team, and alongside other Australian Research Centre for Health Equity, RegNet, and ANU colleagues. Our Ideal Candidate Our ideal candidate will have a PhD degree in critical public health / politics of health, with relevant research experience in the social/commercial/planetary determinants of health equity. You will have demonstrated experience in conducting original research, scholarly writing/publications, and project management. You will be fully proficient in software including Word, Excel, PowerPoint, Outlook, Endnote, and NVivo. To excel in this role, in addition to outstanding research skills, you must have a demonstrated drive to engage beyond the academy and to influence policy and practice related to planetary health equity. Attention to detail is critical as well enjoying working in a team. What we offer A supportive and world class work environment that will nurture your academic career and assist you in further developing your research, education and knowledge mobilisation skills. The opportunity to work with world-class researchers and build networks with a diverse mix of disciplinary and sectoral expertise across the university and beyond. Generous remuneration and conditions, including 17% superannuation and a range of benefits. Applicant Enquiries To enquire about this opportunity, please contact ARC Laureate Fellow Professor Sharon Friel – T: +61 (0)410 356 194, E: sharon.friel@anu.edu.au Selection Process Timeline Applications close at midnight on 4 January 2026 We anticipate interviewing shortlisted candidates 2 weeks after the advertisement closes, with a start date within 1 month of interview All applicants will be contacted and advised of the outcome of their application The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au   ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion How to Apply In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Monday, 26 January 2026, 11:55 PM (AEDT)

Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in either Data Structures, Algorithm Design and Analysis or Python Programming. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science or closely related field. Candidates should have a strong knowledge of either Core Algorithms, Data Structures, Algorithms and complexity analysis, as well as proficiency in at least one major programming language (Python, C++, or Java) and industry or research experience applying algorithmic methods. Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in Software Engineering. This comprehensive course bridges theory and practice in modern software engineering, equipping students with the skills to design, develop, test, and deploy production-ready web and mobile applications while integrating AI technologies responsibly throughout the development lifecycle. Responsibilities include: Teaching courses across software engineering and related areas using inclusive, activity-led, project-based pedagogy Advising and mentoring students on coursework, projects, and research Contributing to curriculum development, assessment of learning outcomes, and service About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Software Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field. Technical Expertise in one or more of the following areas: Software architecture and design patterns Software development lifecycle (SDLC) and agile methodologies Full-stack web development Mobile application development Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Professional Practice - Demonstrated experience with: Version control systems Automated testing frameworks and methodologies API design and documentation Production deployment and monitoring Strong commitment to project-based learning and hands-on pedagogy Preferred Qualifications: Research: Evidence of sustained research impact and experience supervising student research Technical Proficiency with: Deployment of machine learning and deep learning models Modern JavaScript/TypeScript ecosystems (React, Node.js, React Native) Python web frameworks (FastAPI, Django, Flask) Database systems (SQL and NoSQL) Cloud platforms (AWS, Azure, or Google Cloud) Container orchestration (Docker, Kubernetes) Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.