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Reliable Machine Learning: Adversarial Learning and Applications in Computational Sustainability

Faculty of Science

Applications accepted all year round Awaiting Funding Decision/Possible External Funding

About the Project

The School of Computer Science at the University of Auckland is looking for applications for PhD students under the supervision of Dr Joerg Wicker.

The position is an opportunity to conduct cutting-edge research in the area of both machine learning and its application to Bioinformatics, Cheminformatics, Computational Sustainability, and Privacy.

We are inviting new PhD students to join our research project that will take challenging data sets and problems from above applications and develop new machine learning algorithms to address them.

PhD candidates are expected to have a solid computer science or statistics background and experience in programming, either from academic studies or practice.

Successful PhD candidates will also benefit from a vibrant research culture and interactions with computer scientists at the School and scientists at the Faculty, many of whom are international leaders in their fields. The University of Auckland is a recipient of a five star plus QS Stars University Rating for excellence in the categories of research, employability, teaching, facilities, internationalisation, innovation and inclusiveness. The global Mercer’s Quality of Living Survey rated Auckland among three the most liveable cities in the world in respect to personal safety, environment, transportation, health and other factors.

Application procedure:

1. Explore Dr Joerg Wicker’s website and research profiles. Please contact us for more details about our research interests for general details.

2. Email your application package consisting of your: curriculum vitae and recent academic transcript. Shortlisted candidates might be invited for an interview via video-conference.

3. A successful candidate would be expected to go through the usual application process for doctoral studies.

Funding Notes

Funding is available for candidates for positions in the projects above. To apply, contact Joerg Wicker () by email, including your CV, research interests, and transcript.

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