ARC Training Centre for Information Resilience (CIRES) PhD Scholarship

DETALLES DE LA OPORTUNIDAD

Universidad Estatal

The university of Queensland Australia

Área

Australia

País anfitrión

Australia

Fecha límite

15 jul. 2022

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: $34,938 per annum (2022 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: 14 June 2022

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 4, 2022 (October commencement), or Research Quarter 1, 2023 (January 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

A working knowledge of concepts from applied statistics/probability, machine learning, algorithms and complexity, human-computer interaction, and marketing would be of benefit to someone working on this project. This project also requires proficiency in the Python programming language, and machine learning software packages such as Pytorch or Tensorflow.

You are expected to have a good background in data science, data analytics, or machine learning and will develop novel data-driven marketing methods making research contributions over the entire Artificial Intelligence pipeline: from data collection and curation to model training and deployment with end users including evaluation.

This project seeks to develop a strong and capable future leader who can undertake data analysis in a data-sparse environment focussing on personalised marketing, with the proposed model and research tasks able to be adapted and applied to other human-in-the-loop tasks.

SOLICITA AHORA ( 4 SOLICITANTES )