Professional Teaching Fellow in Data Science

  • University of Auckland
  • Auckland, New Zealand
  • Aug 12, 2019
Full time   Computer Science/Info Tech/Systems Engineering & Applied Sciences Mathematics & Statistics Sciences and Technology: other

Job Description





Professional Teaching Fellow in Data Science
University of Auckland

The opportunity

The School of Computer Science at the University of Auckland is currently looking for an early career academic to join our diverse and internationally renowned school as an entry level Professional Teaching Fellow. If you are passionate about teaching and want to build lasting collaborations, and value diversity, we encourage you to apply.

About the role

The appointee will primarily be involved with coordinating and teaching courses in the undergraduate programme at Auckland but may also be required to teach courses offered by the School of Computer Science in China. This is a teaching-only role with no opportunity for research. Experience teaching students is essential, and lecturing experience with large classes (over 300 students) would be an advantage.

Skills and experience

Our preference will be for applicants with expertise in teaching fundamentals of data structures and algorithms, and Data Science pertaining to machine learning, artificial intelligence, data mining or data management. The various Data Science programs we offer are run jointly with our Department of Statistics, which invented R. We expect the successful candidate to contribute to the continuously growing success of these programs. Such contributions include high-calibre teaching of courses with many students as well as potential supervision of undergraduate projects.

About the Department

The School of Computer Science is the country's largest, most diverse, and most accomplished. The school was founded in 1981. It now has more than 54 academic staff and 60 PhD students and an ever-growing cohort of undergraduates. The school is among the top 100 Computer Science Departments in the world according to the 2019 QS World University Rankings.

Why us?

The University of Auckland (42,000 students) is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities.

The University is committed to providing an excellent working environment through:

  • flexible employment practices
  • career development programmes
  • a competitive salary with five weeks’ annual leave
  • company superannuation scheme, discounted car parking, a generous parental leave allowance, childcare and a number of other discounts on internal and external services.

Preferred and Required Qualifications

Our ideal candidate will have:

  • a postgraduate degree in Computer Science or Data Science or another closely related subject.
  • a commitment to high-quality research-informed teaching of undergraduate students.
  • demonstrated expertise in analysing, visualising or managing data
  • ability to motivate and engage students.

 

Application Details

How to apply

Applications must be submitted online, by the closing date of Friday, 18 October 2019 to be considered. Please include your cover letter and CV combined as one document.

This is a full time, permanent position based on the University of Auckland's City Campus.

For further information go to www.auckland.ac.nz/opportunities

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive and equitable environment.  For further information on services for Māori, Pacific, women, LGBTI, people with disabilities, parenting support, flexible work and other equity issues go to www.equity.auckland.ac.nz

Direct enquiries only please - no agencies.

 

When inquiring or applying for this position, please also reference AcademicCareers.com

Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and employment opportunities at the University of Auckland and at other institutions of higher education in the region on www.AcademicCareers.com