Professor in Data Science
- Teach, research, lead and collaborate
- Lead our computing disciplines in interdisciplinary analytics initiatives
- Join AUT's dynamic School of Engineering, Computer and Mathematical Sciences
Auckland University of Technology (AUT) is vibrant, achievement-oriented and a rewarding place to work. Ranked in the top 250 of world universities, it is also one of the world's top 40 young universities and #1 for global research impact in Australasia. We're poised for the next stage of growth and offer a stimulating teaching and research environment with strong connections to government, business and industry. AUT has close to 30,000 students and around 3,000 staff across our three teaching campuses and is located in New Zealand's (NZ's) largest city, Auckland - consistently ranked as one of the world's most liveable cities.
Our Computer Science and Software Engineering department (CSSE) is part of AUT's large, unique, dynamic and interdisciplinary School of Engineering, Computer and Mathematical Sciences (ECMS). The department constitutes world-leading research expertise in AI/Machine Learning, Networks and Cybersecurity, Software Engineering, and Information Systems, with special emphasis on the discovery and application of knowledge. Data Science has been an area of strength where we are expecting significant growth in our programmes and courses. Industry and academic interest in this area is high and is expected to continue to rise, our new Data Science major is part of our BCIS degree and we are looking to expand to postgraduate offerings in the near future. We host the Data Science Research Group, whom along with other colleagues within the school have active research projects with a range of external stakeholders in the area.
This is an exciting opportunity for a forward-thinking Professor of Data Science with expertise in at least two of the following data science related areas - large databases and data warehousing, artificial intelligence, data mining, machine learning or data visualisation.
Recognising the growth and increasing significance of data across a wealth of disciplines, AUT is looking at pan-university collaboration in analytics as a strategic direction. The appointee would be expected to take a leading role in representing the computing disciplines in these interdisciplinary initiatives. As we continue to grow our programmes, there are also opportunities to guide course development and build interdisciplinary linkages and models.
Other key focus areas include:
- Providing leadership to the Data Science theme, including securing external research grants and leading teams of colleagues and students to achieve high-quality research outcomes (grants, publications).
- Providing leadership to the planning and delivery of applied, innovative and theoretically underpinned Data Science curricula, which would include collaboratively working with internal and external stakeholders.
- Providing leadership to develop the department's profile both internally and externally for its strengths and innovations in Data Science research and teaching.
You will be recognised as a senior academic who displays attributes of tolerance, empathy, trustworthiness, confidence and kindness. Your ability to listen, connect, collaborate, communicate and influence will be critical - as is your level of strong respect for others coupled with an open and engaging attitude that is flexible to changing requirements. You'll enhance the positive energy within AUT, value diversity and work inclusively. A resolute, robust and positive attitude is essential.
NOTE: The School of ECMS is also currently advertising for a Head of Department and Professor of Mechanical Engineering to further bolster its academic leadership, click HERE for further information.
Applications and Selection Criteria
Please submit a curriculum vitae (including full publication record), cover letter and a statement addressing the following key selection criteria:
- A record of distinguished academic achievement and research appropriate for appointment as a Professor. A PhD/Doctorate is required.
- In-depth knowledge of at least two of the following data science related areas - large databases and data warehousing, artificial intelligence, data mining, machine learning or data visualisation.
- Evidence of an awareness of the growing significance of issues such as security and privacy of data, big data and bias, and commitment to the ethical uses of data.
- International standing in the area of data science research, leading and working within moderate to large size research teams.
- Evidence of curriculum design and implementation.
- Evidence of contributions in the mentoring and the career growth of academic colleagues, especially underrepresented groups
- A demonstrated record of commitment to Te Tiriti o Waitangi and awareness of New Zealand as a bi-cultural society.
- Applicants are welcome to add further comments they may feel of relevance.
- Start Date: The successful candidate will ideally join AUT in February 2022 (or earlier by negotiation).
- A competitive remuneration package will be agreed with the successful applicant, commensurate with skills and experience.
- Referees will only be engaged for shortlisted candidates and will not contacted without the prior consent of the applicant. When applying, applicants should provide names, contact details and clarification of relationship for at least three potential referees.
For academic enquires: Contact Professor Aman Maung Than Oo (Head of School, Engineering, Computer and Mathematical Sciences) - email@example.com. For recruitment enquiries: Contact Mike Wood (AUT Executive Recruitment Partner) - firstname.lastname@example.org.
Advertising closes: Sunday, 17 October at 23:55pm (New Zealand standard time). We expect interviews to take place during November 2021.
Please note: In response to COVID-19, the New Zealand Government has imposed travel restrictions and are currently only allowing New Zealand residents, citizens and visa holders meeting a strict exception policy to enter the country, all of whom must currently enter Government approved isolation/quarantine for two weeks upon arrival. It's uncertain when these border restrictions will change, and this may impact the manner in which an offshore candidate will be able to participate in the recruitment process although remote options will be in place. Visit the Immigration New Zealand website or the New Zealand Government's official Covid-19 website for further information and updates on the border restrictions.
At AUT we strive to be a place where people love to work and learn. We are committed to inclusivity and the Treaty of Waitangi and aspire to be the University of choice for Māori and Pacific communities. We welcome people of all ethnicities, genders, sexual orientations, religious and political beliefs, socio-economic situations and accessibility needs.
Please note that all applications must be submitted through the online application process. For further information, please send us an enquiry here or call 921 9499. Please note we are happy to answer your questions but we do not accept applications by email. You will need to apply through the standard registration process.