CIRES-Queensland Department of Education PhD scholarship

DETALLES DE LA OPORTUNIDAD

Universidad Estatal

The university of Queensland Australia

Área

Australia

País anfitrión

Australia

Fecha límite

02 may. 2023

Nivel de estudio

Postgrado

Tipo de oportunidad

Becas , Becas , Subsidios

Especialidades

ciencias de la educacion , Ingeniería , Artes Creativas y Diseño , Periodismo , Fotografía

Oportunidad de financiación

Financiación completa

Países elegibles

Esta oportunidad está destinada a todos los países

Región elegible

Todas las regiones

Enrolment status: Future UQ student

Student type: Domestic, International

Study level: Postgraduate research (HDR)

Study level: Arts, humanities and social sciences, Business and economics, Computer science and IT, Education, Engineering, Health and medicine, Science and mathematics

Scholarship focus: Academic excellence

Funding type: Living stipend, Top-up, Tuition fees

Scholarship value: $36,161 per annum (2023 rate), indexed annually. A top-up of $5,000 per annum is also available.

Scholarship duration: 3.5 years with the possibility of 1 extension in line with UQ and RTP Scholarship Policy

Number awarded: May vary

Applications open: 11 April 2023

Eligibility:

To be eligible to apply, you must:

Meet the entry requirements for Higher Degrees by Research at UQ
Be nominated by the Principal Advisor and enrolling school or institute at UQ
Submit a 2-page overview with your application addressing:
- Why you are interested in this project
- What challenges you foresee in the project
- What special insights or capabilities you would bring to the project
- How you see the project and PhD as part of your career trajectory
Complete an interview process with the UQ supervisory team and industry or government partner

Applicants for this scholarship should be aiming to commence in Research Quarter 3, 2023 (July commencement) or Research Quarter 4, 2023 (October commencement).

Selection criteria:

Your application will be assessed on a competitive basis.

We take into account your:

previous academic record
publication record
honours and awards
employment history

For this position, CIRES is seeking a candidate with a good background in data science, data analytics, or machine learning; and proficiency in python programming language and machine learning software packages such as Pytorch.

Track record of publishing high-quality conference or journal paper and experience working with and ingesting structured and unstructured date from multiple sources are desirable.

SOLICITA AHORA ( 5 SOLICITANTES )