• Can you provide a record of research in AI?
• Have you completed a Ph D in a relevant field, or other relevant qualifications?
• Do you have the ability to teach across other disciplines including computer science, programme languages and software engineering?

Mō Te Herenga Waka - About Our University
Te Herenga Waka - Victoria University of Wellington is a global-civic university with our marae at our heart. This iho draws off our heritage and is further defined by our tūrangawaewae, in particular Wellington, Aotearoa, and the Asia-Pacific, all of which are expressed in our position as Aotearoa New Zealand's globally ranked capital city university.
Kōrero mō te tūranga - About the role
Te Herenga Waka - Victoria University of Wellington is currently recruiting a Pūkenga/Pūkenga Matua - Lecturer/Senior Lecturer in Artificial Intelligence to join Te Kura Mātai Pūkaha, Pūrorohiko - School of Engineering and Computer Science on a full-time, permanent basis.
The position represents a chance to provide leadership, research, and teaching support in Engineering and Computer Science, particularly within the Artificial Intelligence (AI) programme. The appointee will work with existing staff in the AI programme and across the School to continue the development of the programme and its integration with other programmes as well as increase our impact via research and broader engagement with external stakeholders. Te Kura Mātai Pūkaha, Pūrorohiko - School of Engineering and Computer Science is looking to appoint at either Pūkenga - Lecturer or Pūkenga Matua - Senior Lecturer level (equivalent to Assistant Professor in the US). This will be dependent on the experience and qualifications of the candidate.
Key responsibilities:

• Provide high quality and critically reflective teaching practices.
• Contribute to innovations in learning, teaching, and assessment within the discipline, including demonstrating digital fluency.
• Contribute to the review and re-design of AI programmes and courses.
• Engage in regular professional development that leads to enhanced teaching practice and where relevant, inclusion of practitioner perspectives.
• Engage effectively with industry, government, academics, professions, and diverse communities.
• Contribute to the collegial development of the Programme, Academic Unit and Faculty through respectful and transparent interactions with colleagues.
• Undertake job evaluations in accordance with the University’s remuneration framework and job evaluation.

Ō pūmanawa - About you
You will:

• Be a motivated, student-focused individual who listens to and understands the needs of students and meets those through a professional, courteous, and empathetic approach.
• Hold a high level of integrity at both a personal and academic level and commit to maintaining high professional and academic standards.
• Have strong communication skills both orally and written in a variety of ways to suit the situation and needs of the recipients.
• Be collegial and deal with colleagues and others in a respectful and fair way.
• Consider equity/diversity perspectives when interacting with colleagues and students alike.
• Be willing to build and maintain positive and beneficial internal and external relationships.

Key requirements:

• A completed Ph D in a relevant field, or other relevant qualifications commensurate with the role.
• Demonstrated evidence of a disciplinary background in AI with the ability to teach across other disciplines including but not limited to computer science, programme languages and software engineering.
• Record of research in AI, preferably in computer vision, deep learning, natural language processing, reinforcement learning and others.
• Demonstrated evidence of developing skill with a range of pedagogies and technologies.
• Proven good oral and written communication skills.
• Good interpersonal skills and demonstrated ability to work with students and staff from a diverse range of backgrounds.

All areas of AI are of interest, but applications are particularly welcome from candidates with interests in symbolic regression and statistical/mathematical modelling, deep learning and transfer learning, scheduling and combinational optimisation, evolutionary and multi-objective learning, neural networks, computer vision and image analysis, and natural language processing as well as interpretable/explainable AI and machine learning.
Ētahi kōrero hai āwhina i a koe - Why you should join our team
Our team is fast paced, likes sharing ideas, and working in a collaborative style. We offer you flexible working arrangements and strong professional development opportunities. If you are interested in joining a school that has an outstanding record and reputation in its teaching, public engagement, and research, then a job within Te Kura Mātai Pūkaha, Pūrorohiko - School of Engineering and Computer Science may be for you.
There are many benefits to working at Te Herenga Waka - Victoria University of Wellington, including being part of New Zealand’s top research university.
Pūkenga | Lecturer Role Description - Click here to see further information, including salary
Pūkenga Matua | Senior Lecturer Role Description - Click here to see further information, including salary
Close Date for Vacancy: 29 September 2024. Applications from recruitment agencies are not accepted.
Contact Details for Vacancy: If you have any questions regarding this role please get in touch with Craig Watterson (craig.watterson@vuw.ac.nz). But applicants should follow all steps listed below.
Important - Application Steps and information
Download and complete the University Application Form, please include the position title and reference number (Pūkenga/Pūkenga Matua | Lecturer/Senior Lecturer in Artificial Intelligence, #1708). Then, please combine your cover letter, CV, and the University Application Form into a single file (preferably in pdf format). Click Apply and follow the process to enter your contact details and attach your combined file (CV, cover letter and the University application form) using the “CV/Resume” button.
If you are unable to combine your documents or have further supporting documents, please email these to erecruit@vuw.ac.nz stating the reference number and position title from the advert in the subject line.