Funded PhD Scholarship from the University of Queensland in Australia 2019
By: The University of QueenslandLast update:
Applicant criteria
NationalityUnited Arab Emirates, Bahrain, Djibouti, Algeria, Egypt, Iraq, Jordan, Comoros, Kuwait, Lebanon, Libya, Morocco, Mauritania, Oman, Palestine, Qatar, Saudi Arabia, Sudan, Somalia, Syria, Tunisia, Yemen
SpecialityComputer and Information Sciences
Gender
- Both
Opportunity criteria
Opportunity FieldTechnology and Programming
Job locationAustralia
DegreePhd
Needed documentsCV, Cover Letter, Transcript of Records, Degree Certificate, Sample of your work
Opportunity description
The University of Queensland Australia is looking for Outstanding and motivated Ph.D. candidates, with very good first Masters or honors degree in mathematics, computer science or science to work as part of a research team on developing methods for solving a wide range of problems in computer vision and machine learning.
The Conditions:
- A bachelor degree (with honors – or equivalent degree) in Computer Science or a related field.
- A strong background in mathematics and some programming experience is desirable for this position.
- Solid programming and algorithmic skills.
- Knowledge of Computer Vision, Machine Learning, Optimization and/or Mathematics demonstrated by relevant experience, courses or publications.
The Benefits:
- A sum of $27,596 per annum tax-free (2019 rate), indexed annually. Additional top-ups will be available for outstanding candidates.
- The Data Science group researches and develops innovative and practical solutions for business, scientific and social applications in the realm of big data. The group encompasses a variety of research strengths including Computer Vision & Machine Learning, Data and knowledge engineering, Information Retrieval, and Complex and Intelligent Systems which all helps in increasing the general experience of the candidate.
- You will join a world-leading research group currently composed of 14 academic staff members (including 4 full professors, one Future Fellow, two DECRA fellows, and an Advance Queensland Fellow), 7 research fellows and over 40 Ph.D. students. Members of the group have a successful track record of publishing in top conferences and journals.
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