PhD Scholarships at University of Wollongong, Australia,2018

University of Wollongong

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Scholarship Description: Applications are invited for PhD Scholarships in Statistical / Machine Learning from domestic and international students for the academic year 2018-2019. Applicants are required to gain admission to and enrol in the Bachelor of Mathematics or a related degree as full-time students.

Scholarship Provider: The University of Wollongong is an Australian public research university located in the coastal city of Wollongong, New South Wales, approximately 80 kilometres south of Sydney.

If English is not your first language then you will need to show that your English language skills are at a high enough level to succeed in your studies.

Degree Level: Scholarships are available for pursuing PhD programme.

Available Subject: Scholarships are awarded in the field of Statistical / Machine Learning.

Scholarship Benefits: The UOW scholarship is AUD$26 300 per year for three years full time. An additional top-up scholarship of AUD$3,700 per year for three years full time is also available for outstanding candidates. Tuition fees for international students (for up to 4.5 years) will be waived.

Eligibility Criteria: Applicants should hold, or be close to completing, an Honours 1 undergraduate degree or a Masters degree in Statistics, Machine Learning, or a closely related field. The ideal candidate will have an interest in the development of statistical learning/machine learning methodology and computation, excellent mathematical and programming skills, and an interest in using them to model and predict environmental phenomena. Self-motivation, a strong research potential, and good oral and written communication skills are essential criteria.

Application Procedure:

Applications must include a copy of your CV detailing your previous education experience and academic transcripts. It is expected that the successful applicant will be available to commence this scholarship by October 31, 2018.

If you are interested in applying for this scholarship, please contact Dr Andrew Zammit Mangion via email.

Scholarship Link

Deadline: May 1, 2018

What is the funding type for PhD Scholarships at University of Wollongong, Australia,2018
PhD Scholarships at University of Wollongong, Australia,2018 is a scholarship.

Who is eligible for PhD Scholarships at University of Wollongong, Australia,2018?:
International Students. If you are a International Students you are eligible for PhD Scholarships at University of Wollongong, Australia,2018 .

What degree level courses are available under this scholarship?:
This scholarship will fund following degree level: PhD

What subjects are available under PhD Scholarships at University of Wollongong, Australia,2018 :
Students are allowed to study : Machine Learning, Statistics.

Which Universities are participating in PhD Scholarships at University of Wollongong, Australia,2018? :
University of Wollongong is(are) participating in PhD Scholarships at University of Wollongong, Australia,2018.

About University of Wollongong:

University of Wollongong is one of the famous study center in Australia with national and international recognition. University of Wollongong offers undergraduate and postgraduate courses in a variety of disciplines and the university / college is has a large number of enrolment of international students.

Australia as study destination for international students :

Australia is a famous for its multicultural society, safe environment and world class education. Australia has a lot scenic beauty to explore. The job opportunities for international students in Australia during the study period are also bright and you will get working hours in your study visa for Australia.

Recommendations from Educads Experts

As per the experts from Educads, an international Student who is looking for scholarship in Australia in Machine Learning, Statistics he or she must apply for PhD Scholarships at University of Wollongong, Australia,2018. This scholarship will fulfill the monetary requirements of the needy student.

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