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The School of Architecture and Built Environment delivers programs, knowledge and technical skills focused on designing, planning, constructing, and managing the built environment sustainably. The School combines complementary disciplinary strengths in architecture and the built environment to education and research in partnership with industry to solve real-world problems. We advance sustainable development, technological innovation and apply human centred and critical perspectives to engage industry, government and communities in design and innovation in the built environment. We research and teach collaboration and stakeholder engagement in professionally based contexts. We also research and teach tools and technologies such as construction and architectural robotics, environmental simulation and assessment, and big data analytics to inform projects and decision making.Level CCompletion of a PhD in Urban and Regional Planning or equivalent accreditation or standing. Demonstrated expertise and track record in teaching and research in planning at a systems level (could include a in one or more of the following areas: land use systems and planning, structural design, infrastructure; urban policy and governance and/or ecological sustainability or other areas relevant to planning systems not listed here. Membership (or eligibility to become a member) of the Planning Institute of Australia and demonstrated expertise as a practicing Urban or Regional Planner will be regarded favourably.Effective leadership in the successful development and delivery of research projects. Demonstrated experience initiating, developing and maintaining excellence in research demonstrated by high-quality publications, success in attracting competitive external research funding, and successful supervision of student research projects including PhD completions.Demonstrated track record in high-quality, real-world teaching (including unit / course coordination) including an ability to develop scholarly and innovative approaches to teaching and learning and a demonstrated capacity to teach classes in the professionally oriented Urban and Regional Planning Major.Demonstrated networks and experience in leading the development of impactful partnerships with industry, professional associations, government or community groups in research and teaching.Demonstrated capacity to lead self and embrace change to improve personal and organisational effectiveness, cooperate and collaborate well with others in a team with diverse backgrounds and expertise including cross-disciplinary collaborations.Demonstrated leadership and sustained experience in engaging with First Nations colleagues and communities in ways that value Indigenous authority, including responding constructively to feedback and embedding that guidance into teaching, research, or leadership practice will be regarded favourably.Demonstrated commitment to equity, diversity and Indigenous Australian engagement.Level DCompletion of a PhD in Urban and Regional Planning or equivalent accreditation or standing. Demonstrated expertise and track record in teaching and research in planning at a systems level in one or more of the following areas will be highly regarded: land use systems and planning, structural design, infrastructure; urban policy and governance and/or ecological sustainability, or other areas relevant to planning systems not listed here. Membership (or eligibility to become a member) of the Planning Institute of Australia and demonstrated expertise as a practicing Urban or Regional Planner will be regarded favourably.Outstanding established track record of developing, leading and delivering impactful research projects. Demonstrated experience in initiating leading, developing and maintaining an impactful research program as demonstrated by high-quality publications, success in attracting research funding, research team leadership and mentoring, effective research project delivery, and successful completion of higher degree student research projects as primary supervisor.Demonstrated significant track record in high quality, real-world teaching at undergraduate and postgraduate levels (including unit/ course coordination and curriculum development). Demonstrated expertise in high-quality, real-world teaching including an ability to develop scholarly and innovative approaches to teaching and learning, and a demonstrated capacity to teach classes in the professionally oriented Urban and Regional Planning Major.Demonstrated networks in urban and regional planning and leadership experience in initiating and building impactful partnerships with industry, professional associations, government or community groups in research and teaching. Demonstrated ability to lead self and others in a positive, collegial manner and implement change to improve personal and organisational effectiveness. Ability to cooperate and collaborate well with others in a team with diverse backgrounds and Interdisciplinary teams.Demonstrated leadership and sustained experience in engaging with First Nations colleagues and communities in ways that recognise Indigenous authority, including responding constructively to feedback and embedding that guidance into teaching, research, and academic leadership to effect meaningful change will be regarded favourably.Demonstrated commitment to equity, diversity and Indigenous Australian engagement.

Honorary Clinical Academic Appointments – New Zealand Graduate School of MedicineLocation: University of Waikato, HamiltonJoin the New Zealand Graduate School of Medicine as an Honorary Clinical Academic and help shape the future of medical education and research in Aotearoa. These appointments connect clinical practice with academia, fostering innovation, mentorship, and collaboration across primary, secondary, and tertiary care. As an Honorary Clinical Academic, you’ll:Contribute to teaching, mentorship, and curriculum development.Support research, including translational and health technology innovation.Build partnerships between healthcare, communities, and the University.Be part of a diverse, multidisciplinary national network. Benefits include:University affiliation, access to research support and resources, and opportunities to influence medical education during this foundational phase of the Graduate School.We welcome clinicians from all specialties, regions, and career stages, with a strong commitment to equity, diversity, Te Tiriti o Waitangi, and cultural safety. Find out more and apply now to help develop the next generation of doctors and improve health outcomes for all communities.Apply before 31st December 2027#LI-DNI

Job DescriptionTe Whiwhinga mahi | The opportunityWe are seeking to appoint a Lecturer / Senior Lecturer in Construction Management, specifically Construction Informatics, to join the Department of Civil and Environmental Engineering in the Faculty of Engineering and Design.In this role, you will undertake high-quality teaching and research in construction management, with a particular emphasis on construction informatics, and serve the Department of Civil & Environmental Engineering, Faculty of Engineering & Design, and the wider University through academic citizenship. You will be expected to contribute to undergraduate and postgraduate teaching, supervise research students, and develop a strong research programme that attracts external funding and produces impactful publications.Key responsibilities include:Delivering research-informed, industry-relevant teaching in construction management and construction informaticsDesigning and enhancing curricula to meet the needs of the profession and accreditation standards.Incorporating emerging technologies and sustainable practices into teaching and research.Supervising honours, masters, and doctoral students.Establishing and maintaining a high-impact research programme, with an emphasis on construction informatics, including areas such as digital engineering, BIM, digital twins, artificial intelligence, automation, information management and related technologies.Publishing in top-tier journals, contributing to design standards and guidelines, and presenting at conferences.Engaging with industry, government, and technical societies to ensure relevance and application of research.Contributing to service roles within the Department, Faculty, and University.This is a permanent, 40 hours per week, full-time contract. The salary range for this role is from NZ $99,788 – $158,904 per annum depending on experience and qualifications.For more information, please view the position description. Mō tō mātou rōpū | About the teamThe Faculty of Engineering and Design is a vibrant hub of innovation and interdisciplinary collaboration. With purpose-built facilities and strong industry connections, the faculty supports cutting-edge research and hands-on learning across engineering, architecture, urban planning, and design. The Department of Civil and Environmental Engineering offers BE (Honours) degrees accredited by Engineering New Zealand in both Civil and Structural specialisations, in addition to a wide range of postgraduate taught and research programmes, including a specialised masters in construction management.The department is home to the Smart Digital Lab (SDL) and the Trimble Technology Lab (TTL), which provide a platform for research and teaching in construction informatics and digital engineering. The TTL was established through a landmark partnership between Trimble and the University of Auckland and provides access to state-of-the-art hardware and software used across the architecture, design, construction and infrastructure sectors. These facilities support research into emerging technologies including Virtual and Augmented Reality, LiDAR scanning, autonomous and drone-based data capture, robotic quadrupeds, machine learning and artificial intelligence, digital twins, BIM, and related technologies for the built environment.The University of Auckland is New Zealand's top-ranked university for Civil and Structural Engineering and is ranked 48th in the world by QS subject rankings. He kōrero mōu | About youYou will be an academic with expertise in Construction Management, specifically Construction Informatics.You will also bring:A Batchelor of Engineering and PhD in Civil Engineering (or equivalent).An outstanding and internationally recognised research profile, evidenced by a sustained record of high-impact publications in top-tier journals.Demonstrated success in securing significant, competitive external research funding, preferably as principal investigator, or demonstrable capability to do so.Proven excellence in teaching, including leadership in the design and delivery of undergraduate and postgraduate courses in construction management.A strong record of postgraduate supervision, including the ability to attract and mentor high-quality research students.A track record of engagement with industry and a practical understanding of challenges in the sector nationally and/or internationally.A compelling and forward-looking vision for the future of construction management education and research in a global context.Commitment to Te Tiriti o Waitangi and equity in teaching, research, and service.Professional membership (e.g., CMEngNZ) or eligibility for membership is desirable.Diversity is important to us. Growing, maintaining and promoting a diverse team is a key priority. The department is particularly interested in receiving applications from candidates that would complement our expertise and enhance the department’s gender and cultural diversity. Ngā āhuatanga kei a mātou | What we offerThe University of Auckland is New Zealand's leading University and maintains significant computational, laboratory, and analytic facilities. Auckland is frequently rated as one of the world's most liveable cities. The University is committed to providing an excellent working environment through the following:Flexible employment practices (including working from home and flexible hours)Up to 6.75% company superannuation schemeA competitive salary with five weeks' annual leaveIn addition, we also offer career development programs, discounted car parking, a generous parental leave allowance, childcare, and other discounts on internal and external services. For more information, please visit Staff Benefits. Me pēhea te tuku tono | How to applyApplications must be submitted online by the closing date of 3/08/2026 to be considered. As part of your application please submit a CV and Cover letter to include:Statement of Research Interests and Vision – max 500 wordsStatement of Teaching Philosophy – max 500 wordsIf you require any additional information relating to the position, then please reach out to Seósamh Costello ([email protected]). Please note we are happy to answer your questions, but we do not accept applications by email.

Ratonga Matihiko | Digital Services Located in Ōtautahi | Christchurch, Aotearoa | New Zealand 5 weeks annual leave +5 days university holidays Professional development opportunities Generous superannuation provisions (up to 6.75% employer contribution) Full-time (37.5 hours per week), permanent position Kia hiwa rā, kia hiwa rā!He hiahia, he pūkenga nōu ki te mahi a te Data Scientist (AI Enablement)? Nāia te pōwhiri nā Te Whare Wānanga o Waitaha kia tono mai i te tūranga nei. Āu Mahi | What You Will DoAs a Data Scientist (AI Enablement), you will transform data into actionable insights and support decision-making across the University. You'll be part of the Data & AI Enablement team, working with faculties, professional services, and project teams to develop robust and interpretable modelling solutions that generate real-world value. Key Responsibilities Build, validate, and deploy statistical and machine learning models (e.g., regression, NLP, clustering). Evaluate and implement emerging AI patterns including Retrieval-Augmented Generation (RAG), AI agents, and orchestration frameworks to support university use cases. Design end-to-end solutions with strong focus on transparency, reproducibility, and performance. Explore and visualise datasets using Python and SQL to generate insights. Communicate results through reports and dashboards (e.g., Power BI). Trial generative AI applications and contribute to reusable AI templates and frameworks. Collaborate with stakeholders to define needs and deliver user-centred solutions. Uphold ethical data practices and UC’s commitments to Te Tiriti o Waitangi. Mōu | Who You AreTo be successful in this role, you will have: Bachelor’s degree in a relevant data science discipline (NZQA Level 7). At least 5 years of data engineering experience and 3+ years in data science/machine learning. Proficiency in Python, SQL, and cloud tools (Azure, DataBricks, Snowflake). Strong communication skills, business acumen, and stakeholder engagement experience. Commitment to cultural responsibility and UC values. Competency in te reo Māori me ōna tikanga is an advantage. An alignment with our organisation's values and culture, promoting a positive and inclusive work environment. Mahi Ngātahi | Who You Will Work WithBuilding world-class digital capability is crucial to the University of Canterbury's ongoing success. Digital Services is a large team, striving to provide a modern dynamic foundation from which the University (UC) can explore new business models and ways of working. Digital will transform how we work, behave, and the expectations of the communities we service Ngā Painga o UC | Why UCAt UC, being part of our team means more than just a job. We are committed to supporting our kaimahi | staff’s career and wellbeing with benefits designed to help our kaimahi grow and feel connected, supported and valued. UC’s Benefits approach is shaped by Ngā Uara | Our Values Whanaungatanga, Tiakitanga, and Manaakitanga. They are designed to be relevant, support and inspire our people, they include: 5 weeks annual leave +5 days university holidays UC Parental Leave (up to 9 weeks paid) + 26 weeks Government paid parental leave and onsite childcare facility generous employer contribution to superannuation (up to 6.75%) flexible working arrangements professional development and study opportunities supportive working environment a wide range of retail discounts across shopping, entertainment and travel on-campus staff discounts including UC RecCentre living in revitalised Ōtautahi | Christchurch, Aotearoa New Zealand a unique working environment in a beautiful campus with access to UC facilities such as UC RecCentre and Staff Club at discounted rates plus onsite cafés and eateries, and more. For more information, please visit us: https://www.canterbury.ac.nz/about-uc/work-at-uc/benefits-working-uc For more information about Te Whare Wānanga o Waitaha | University of Canterbury, please visit https://www.canterbury.ac.nz/ The closing date for this position is: 16 July 2026 (midnight, NZ time)Please note, applications will be reviewed as they are received, and interviews may take place before the close date. Pēhea te tono mai | How You Apply Applications for this position must be submitted via our careers website and should include a cover letter and resume. Please note, we do not accept applications by email, however we are happy to answer your queries in relation to the application process, please forward these to [email protected] You must have Aotearoa New Zealand or Australian citizenship/permanent residency or hold a valid NZ work visa to be considered for this role. Please note, this is an onsite position. Job Details Reference # 32534 Posted on 02 Jul 2026 Closes on 16 Jul 2026 23:55 Location(s) Christchurch Expertise Engineering, Information Technology, Science & Technology Job level(s) Experienced Work type(s) Continuing (Permanent) full-time More details (document) PD_Data Scientist.pdf Position description 1 Position description 2 Position description 3 Position description 4