Pūkenga | Lecturer, Artificial Intelligence

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Pūkenga | Lecturer, Artificial Intelligence

• Location: Kelburn
• Type: Permanent
• Post Date: Sun Dec 17 23:17:10 2023
• Ref: 672

• Have you got a PhD in Artificial Intelligence with a record of successful experience in delivering and/or designing appropriate courses?
• Are you a meticulously organised self-starter who has the ability to respond to changing needs and opportunities?
• Do you have a passion for teaching and the capacity to build and maintain positive relationships?

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.

Our core ethical values are respect, responsibility, fairness, integrity, and empathy. These core ethical values are demonstrated in our commitment to sustainability, wellbeing, inclusivity, equity, diversity, collegiality, and openness. With, and as, tangata whenua, we value Te Tiriti o Waitangi, rangatiratanga, manaakitanga, kaitiakitanga, whai mātauranga, whanaungatanga, and akoranga.

Kōrero mō te tūranga - About the role

Te Herenga Waka - Victoria University of Wellington is currently recruiting a Pūkenga | Lecturer, Artificial Intelligence to join Te Whiri Kawe – the Centre for Data Science and Artificial Intelligence.

We are looking for someone who is an excellent team member, and whose teaching and research interests both complement and extend those of the existing team.

Key Responsibilities:

Undertaking impactful research and scholarship:

• Within and across the broad spectrum of Artificial Intelligence (and Data Science), which may include (but not limited to) symbolic regression and statistical/mathematical modelling; deep learning and transfer learning; scheduling and combinatorial optimisation; evolutionary and multi-objective learning; neural networks; computer vision and image analysis, and natural language processing; and Interpretable/explainable AI and machine learning. The key application areas include primary industry, climate change, (bio-) medical/health, high-value manufacturing, and society/ethics.
• That engages constructively and productively with colleagues within and outside the University, including those Crown and Independent/Regional Research Institutes in New Zealand.
• That successfully attracts and supports research students into the discipline, Centre, and Faculty.
• That successfully attracts external research grants, such as Marsden and MBIE.
• That potentially gains international leadership in a particular research area in Artificial Intelligence/Data Science/Computer Science/Statistics, e.g., chairing an international committee such as IEEE technical committee and task force, ACM special interest groups, chairing an international conference or special sessions, being an associate editor or member of editorial board or guest editor of a special issue of a reputed international journal.

Commitment to teaching and learning as evidenced by:

• Academically rigorous, research-led teaching that stimulates student learning.
• Teaching of courses in Artificial Intelligence.
• Maintaining a high standard of teaching as evidenced by student and peer feedback.
• Supervising PhD and Master’s thesis students in Artificial Intelligence and Data Science.
• Supervising and coordinating student placement and research projects.
• A pedagogical approach that reflects Te Tiriti o Waitangi, our location in the Pacific, and a diverse student body that includes international and refugee-background students from a range of backgrounds.
• Attracting and successfully supervising Honours, Masters and/or PhD students to completion.

Ō pūmanawa - About you

You will:

• Be a highly motivated individual who can take the initiative and can manage and perform a variety of concurrent academic, administrative and research tasks.
• Be a forward-thinker who demonstrates a capacity for high quality and innovative teaching and research in your specialist field.
• Thrive in this role because you have the capacity to build and maintain positive relationships with staff, a passion for teaching and research, and a commitment to the forms of academic administration that can enhance the effectiveness of the work that staff perform and the related outcomes.

As a full-time scholar, you will be a meticulously organised self-starter who relishes working autonomously as well as contributing positively to a high performing staff team. You will show a capacity for positivity and productivity in the face of continuing research, teaching and administrative commitments. You will also have the ability to respond to changing needs and opportunities in these three key areas.

Key Requirements:

• A PhD in Artificial Intelligence, which may include including (but not limited to) symbolic regression and statistical/mathematical modelling; deep learning and transfer learning; scheduling and combinatorial optimisation; evolutionary and multi-objective learning; neural networks; computer vision and image analysis, and natural language processing; and Interpretable/explainable AI and machine learning. Priority will be given to those with experience in applications to primary industry, climate change, (bio-)medical/health, and high-value manufacturing.
• A record of successful experience in delivering and/or designing undergraduate courses and/or classes in AI.
• The capacity to provide academic mentoring and related pastoral care to culturally diverse cohorts of undergraduate and postgraduate students.
• An excellent record of published academic research and/or the capacity to conduct research and produce academic publications in AI.
• Ability to attract external research grants in AI fundamental research and key applications.
• A record of national and international leadership positions and experience in certain aspects.
• Ability to help the Centre manage/administrate certain aspects such as research programmes/projects, industry engagement, and research student recruitment.
• Ability to build positive and supportive relationships with colleagues.
• The capacity to work as part of a team as well as having individual responsibilities.

Ētahi kōrero hai āwhina i a koe - Why you should join our team

Te Whiri Kawe – the Centre of Data Science and Artificial Intelligence (CDSAI) has an ambitious vision of building a distinctive identity for the growing excellence and innovation in data science and artificial intelligence research done at Te Herenga Waka – Victoria University of Wellington. The role’s activities will strategically position VUW to promote greater engagement between the artificial intelligence and data science community of academia, researchers, research sponsors (domestic and international) and companies.

Role Description

Close Date for Vacancy: 21 January 2024 - We will be reviewing applications as they are received and may progress with suitable applicants prior to the application closing date.

Contact Details for Vacancy: If you have any questions regarding this role, please get in touch with Mengjie Zhang ([email protected] ). But applicants should follow all steps listed below.

Important - Application Steps and information

Download and complete the University Application Form . 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 [email protected] stating the reference number and position title from the advert in the subject line.

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