Details about PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020
PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020 is offered for PhD degree in the field of Engineering . You can apply to this scholarship here. The deadline for the sending your application is 01 Sep 2020. This scholarship is provided by Curtin University and the value of this scholarship is Full Funding, Stipend and fees . This scholarship is open for: Open to all nationals.
- Degree: PhD
- Provided by: Curtin University
- Deadline: 01 Sep 2020
- Scholarship value: Full Funding, Stipend and fees
The Curtin University in Australia is offering PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020 to interested eligible students.
Eligibility for PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020:
- English language IELTS level of IELTS: Overall 6.5, Speaking, Writing, Reading and Listening 6.0; or TOEFL, internet-based Overall 79, Reading 13, Listening 13, Speaking 18 and Writing 21.
- Future Higher degree by research applicants
- Bachelor degree (the first-class honors or upper second class honors) in Structural Engineering, Computing or related fields
- Applicants with Master degree by research with technical publications and research experiences in structural dynamics and structural health monitoring, especially on machine learning, deep learning, signal processing, and data analysis techniques, are preferred
Value of PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020:
- The total annual value of the PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020 including stipend and fees is approx. AUD 60,000 - AUD 70,000 p.a.
- Curtin PhD Stipends are valued at AUD 28,092 p.a. for up to a maximum of 3.5 years.
- The successful applicants for PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020 will receive a 100% fee offset.
To apply for this project opportunity applicants must submit an email to the Project lead and include their current curriculum vitae, a summary of their research skills and experience, and the reason they are interested in this specific project.
Our Scholarship team will help you with any questions
Kindly login to comment and ask your questions about PhD in Deep Learning Based Probabilistic Structural Health Monitoring 2020