Faculty of Science, The University of Auckland

Position ID:The University of Auckland-Faculty of Science-PTF [#13191, 20382]
Position Title: Professional Teaching Fellow/ Lecturer/Senior – Capstone Projects / Computer Systems / Data Science
Position Type:Academic admissions
Position Location:Auckland, Auckland 1023, New Zealand
Subject Area: Computer Science / Data Science
Appl Deadline:2019/02/22 (posted 2019/01/28, listed until 2019/02/22)
Position Description:    

Faculty of Science

The School of Computer Science at the University of Auckland is currently looking for four early career academics to join our diverse and internationally renowned school as a: •Professional Teaching Fellow in Data Science •Professional Teaching Fellow in Computer Systems •Professional Teaching Fellow in Capstone •Lecturer or Senior Lecturer in Data Science

If you are passionate about teaching and want to build lasting collaborations, and value diversity, we encourage you to apply.

Professional Teaching Fellow - Capstone Projects (20381)

The appointee will be in charge of coordinating and supervising undergraduate projects, and teaching into the undergraduate programme. Duties will include lecturing to large classes, and working with small groups in laboratory settings. Strong organisational skills are important. Experience with students, supervision of projects, and lecturing is essential. Our preference will be for applicants with expertise in software engineering.

For more info visit and to apply, please visit:

https://opportunities.auckland.ac.nz/jobid/20381/1/1

Professional Teaching Fellow - Computer Systems (20382)

The appointee will be in charge of coordinating and teaching courses in the undergraduate programme and teaching in the undergraduate programme. Experience with students and lecturing is essential. Our preference will be for applicants with expertise in the Systems area of Computer Science, such as computer architecture, networks, cyber security, operating systems, parallel and distributed computing and cloud computing.

For more info visit and to apply, please visit:

https://opportunities.auckland.ac.nz/jobid/20382/1/1

Professional Teaching Fellow - Data Science (20378)

The appointee will be in charge of coordinating and teaching courses in the undergraduate programme and teaching into the undergraduate programme. Experience with students and lecturing is essential. Our preference will be for applicants with expertise in 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 supervision of Capstone projects.

For more info visit and to apply, please visit:

https://opportunities.auckland.ac.nz/jobid/20378/1/1

Our ideal Professional Teaching Fellow candidates will have the following: •A degree in Computer Science and a passion for their discipline •A commitment to high quality research-informed teaching of undergraduate students •Excellent verbal and written communication skills •The ability to motivate, enthuse and inspire students

Lecturer/Senior Lecturer - Data Science (20382)

Lastly, we are seeking top candidates from any subfield of Data Science who focus on any of the following areas: machine learning, artificial intelligence, data mining or data management. Industrial experience and/or experience of collaborative research with industrial partners would be a significant advantage. 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 world-class research, high-calibre teaching of courses with many students as well as supervision of Capstone projects and dissertations at the Master and PhD level.

For more info visit and to apply, please visit:

https://opportunities.auckland.ac.nz/jobid/20382/1/1

Our Ideal Lecture or Senior candidate will have the following: •A PhD •Preferably have spent some years as a Postdoc/Research Fellow •Demonstrated excellence in research •A commitment to high quality research-informed teaching of both undergraduate and graduate students

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 2017 QS World University Rankings.

Benefits

The University of Auckland (42,000 students) is New Zealand's leading University and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world's most liveable cities.

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

For more information please visit our Staff Benefits page.

How to apply

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.

Applications close Friday, 22 February 2019.

For further information and to apply online please visit 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 Maori, Pacific, women, LGBTI, equity groups, parenting support and flexible work go to www.equity.auckland.ac.nz

Direct enquiries only please - no agencies.


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Web Page: https://www.opportunities.auckland.ac.nz/psp/ps/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=20382&SiteId=1&PostingSeq=1

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