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Lecturer in Data Science

Employer
Global Academy Jobs
Location
New Zealand
Closing date
Jan 16, 2017

Job Details

Faculty of Science - Department of Computer Science

The Faculty of Science at the University of Auckland is the largest and most highly ranked science faculty in New Zealand. The Faculty of Science is ranked among the 90 science facilities worldwide by the QS World University Rankings. The 10 departments and schools that form the Faculty of Science represent the breadth and diversity of science in our modern world.

Auckland's harbour setting, magnificent beaches and verdant bush make it a great place to study and work, while the University's close proximity to New Zealand's major businesses and hospitals enables staff and students to rub shoulders with leading practitioners in their field. Auckland offers a diverse range of employment and leisure options, including easy access to high quality schools which prepare students extremely well for the transition to university.

The Department of Computer Science is the country's largest, most diverse, and most accomplished. The department was founded in 1981. It now has more than 40 academic staff and 80 research students, and an ever-growing cohort of undergraduates. The department is among the top 100 Computer Science Departments in the world according to the 2014 QS World University Rankings.

We are currently looking for two top early career academics to join our diverse and internationally renowned Department of Computer Science as Lecturers in Data Science. The positions are part of an appealing environment of existing competencies within data science which include undergraduate and postgraduate programmes run jointly with the Department of Statistics in which R was developed in the mid-90s, and an internationally respected group of academics undertaking pure and applied research in this domain.

The successful appointees will have a PhD, demonstrated excellence in research, and a commitment to high quality research-informed teaching. The ideal candidate would have a research program that complements and builds on existing areas of strength within the department (http://www.cs.auckland.ac.nz).

The first position is open to applicants who have been conducting research in the field of data science with a focus towards data management including but not limited to big data, conceptual data modelling, crowdsourcing, data cleaning, data integration, data mining, data models, data provenance, data quality, data semantics, data visualization, data warehousing, database design, distributed and parallel databases, graph data management, information extraction, knowledge discovery, query languages, uncertain databases.

The second position is open to applicants who have been conducting research in the field of data science with a focus towards artificial intelligence including but not limited to cognitive systems, data mining, integration, knowledge representation, logic, machine learning, multi-agent systems, natural language processing, optimization, pattern recognition, planning, reasoning, robotics and perception, search, statistical learning.

For both positions, the main criteria for candidates is excellence in research, as well as the ability to be a highly effective teacher of both undergraduate and graduate students.

The appointees will be expected to teach at undergraduate and postgraduate levels in their specialist area, at introductory levels more widely, and to engage in research and publication both personally and through the supervision of research students. The appointee would also be expected to seek research funding, to engage with the profession, to engage with industry, and to contribute to departmental service.

Both positions are full time, permanent positions based on the University of Auckland's city campus.

The University has an equity policy and welcomes applications from all qualified persons.

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students

Applications for this position will close on 15th January 2017

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Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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