Lecturer/Senior Lecturer- Data Science

Te Kaupeka Pūhanga | Faculty of Engineering
Te Kura Pāngarau | School of Mathematics and Statistics
Located in Ōtautahi | Christchurch, Aotearoa | New Zealand

• Full-time 37.5 hours per week (1.0 FTE)
• Continuing (permanent) position
• Generous annual leave provisions and professional development opportunities

Āu Mahi | What You Will Do
As a Lecturer or Senior Lecturer in Data Science, you will contribute to an engaging academic environment where high-quality teaching and impactful, industry-connected research support student success and innovation in the field. In this role you will:

• Deliver engaging teaching across undergraduate and postgraduate programmes, particularly within the applied data science programme.
• Apply innovative, research-informed teaching methodologies, including supporting learners across on-campus, distance, and online delivery.
• Supervise postgraduate students and support their academic and research development and engagement with industry.
• Develop a strong research profile in data science or a related field and contribute to the School’s research culture.
• Build collaborative research connections within the University, with industry partners, and across national and international networks.
• Contribute to curriculum development, programme quality assurance, and service activities.

At Senior Lecturer level, you will also provide leadership in research and contribute to mentoring colleagues. You will help shape the School's research culture and direction and contribute to growing the School's reputation as a hub for data science and AI in Aotearoa New Zealand. Mōu | Who You Are
You are a collaborative academic with expertise in data science and a passion for teaching, research, and supporting student success. You will bring:

• A PhD in data science, computer science, statistics, or a closely related discipline.
• Evidence of an emerging or developing research portfolio with quality publications or research outputs.
• Ability to contribute to research collaborations and build a strong research profile.
• Experience delivering effective, engaging, research-informed teaching at tertiary level.
• Experience supervising , postgraduate students.
• A collegial approach and willingness to contribute to School and University service.
• Commitment to equity, diversity, and inclusion, and respect for Aotearoa New Zealand's bicultural heritage and Te Tiriti o Waitangi.

Mahi Ngātahi | Who You Will Work With The School of Mathematics and Statistics sits at the heart of the University, teaching into programmes across campus and spanning a wide range of disciplines. We are home to the Master of Applied Data Science (MADS) and Postgraduate Diploma in Applied Data Science (PGDipADS),which are among UC's largest and fastest-growing postgraduate programmes, with enrolments expanding rapidly through on campus, distance, and online delivery. We aspire to be a productive, dynamic, and inspiring community, committed to maintaining a collegial and supportive environment where staff at all career stages are encouraged to grow, collaborate, and do their best work. Ngā Painga o UC | Why UC
Tangata Tū, Tangata Ora – Engaged, Empowered, Making a Difference. We believe in creating a welcoming and empowering workplace where everyone feels valued. Our values of manaakitanga (care and respect), whanaungatanga (connection and belonging), and tiakitanga (stewardship and sustainability) guide our actions and reflect our dedication to fostering compassion, collaboration, and excellence. We are deeply committed to accessible higher education and breaking down barriers related to distance, financial means, gender, or ethnicity. We empower our graduates and staff to make a real impact in their communities and beyond. What We Offer
The University is committed to providing an excellent working environment, this includes: UC provides a flexible and family-friendly working environment with benefits that support well-being, career progression, and work-life balance, including:

• relocation support for international and domestic candidates,
• generous leave policies with five weeks annual leave and five additional university holidays,
• flexible working arrangements,
• sabbatical provision and opportunities for professional development and continuous learning,
• onsite paid childcare facilities to help balance work and family life,
• parental leave benefits with 9 weeks paid UC parental leave and 26 weeks Government paid parental leave,
• generous employer contribution to superannuation (up to 6.75%),
• university and faculty scholarship support for postgraduate students,
• a unique bequest funded endowment (Erskine Fund) that supports an extensive visiting fellowship programme,
• living in revitalised Ōtautahi | Christchurch, Aotearoa New Zealand, and
• a unique working environment in a beautiful campus with access to facilities such as the recreation centre, Staff Club, and onsite cafés and eateries at discounted rates.

For more information on our Benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/. This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement and the following salary scale applies: Lecturer $94,181 - $113,616; Senior Lecturer $119,586 - $149,806. The closing date for this position is: 5th May 2026 (midnight NZ time) Please note, applications will be reviewed after the close date. Pēhea te tono mai | How You Apply Applications for this position must be submitted on our careers website and should include the following:

• a cover letter (maximum 1 page),
• a research statement outlining current and future research interests (maximum 2 pages),
• a statement outlining teaching philosophy, approach, and experience across different modes of delivery (maximum 1 page), and
• a resume including a list of relevant research publications.

We do not accept applications by email, however, we are happy to answer any queries at WorkatUC@canterbury.ac.nz For further information specifically about the role, please contact: Clemency Montelle, Head of School, Mathematics and Statistics (clemency.montelle@canterbury.ac.nz). For overseas applicants, please visit Immigration New Zealand website, to review the latest health and visa requirements for visiting and working in New Zealand. At the University of Canterbury, we strive for inclusivity and diversity. We understand that some candidates may hesitate to apply unless they meet every criterion. Our hiring decisions strive to go beyond traditional qualifications and job experience. If you're interested in applying but unsure about meeting all requirements or need extra support, please inform us. As part of our commitment to supporting academic career progression, we take proactive steps to removing barriers, addressing unconscious bias, promoting equity in decision-making and providing support for career progression, promotion and development. Join us in shaping the future of Data Science in an environment that values collaboration, inclusivity, and well-being. Job Details Reference # 28597
Posted on 24 Mar 2026
Closes on 05 May 2026 23:55
Location(s) Christchurch
Expertise Education & Training, Lecturer, Science & Technology, Senior Lecturer, Tertiary Teaching
Job level(s) Academic
Work type(s) Continuing (Permanent) full-time