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Scalable and Lightweight On-Device Recommender Systems

Scalable and Lightweight On-Device Recommender Systems

Australia 31 oct. 2022
The university of Queensland Australia

The university of Queensland Australia

Universidad Estatal, Examinar oportunidades similares

DETALLES DE LA OPORTUNIDAD

Universidad Estatal
Área
País anfitrión
Fecha límite
31 oct. 2022
Nivel de estudio
Tipo de oportunidad
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: Computer science and IT
Scholarship focus: Academic excellence
Funding type: Living stipend, Tuition fees
Scholarship value: $29,863 per annum (2023 rate), indexed annually
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: 30 September 2022

Eligibility:

You're eligible if you meet the entry requirements for a higher degree by research.

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 deriving state-of-the-art machine learning approaches for real-world applications and publishing conference/journal papers on prestigious venues would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field/s of machine learning, predictive analytics, recommender systems, and edge intelligence and the potential for scholastic success.

A background or knowledge of model compression, decentralized machine learning, and information retrieval is highly desirable.

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