Postdoctoral Research Fellow – Computational Visualisation For Multi Objective Sustainable Land Use Planning

University of Queensland

St Lucia, Queensland, Australia
Base salary will be in the range $83,698.91 - $111...
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Computational visualisation
Visual analytics
Human-centred computing
** The University of Queensland is seeking a Postdoctoral Research Fellow specializing in computational visualisation for multi-objective sustainable land use planning. This full-time, hybrid position focuses on developing interactive tools for visual analytics and decision support, aimed at enhancing research in biodiversity and renewable energy. **

Job Summary

  • Design next-generation interactive tools that help researchers and decision-makers explore complex trade-offs across biodiversity, renewable energy, and agricultural productivity using cutting-edge land-use models (LUTO2).
  • You’ll be part of a supportive, multidisciplinary environment spanning UQ’s School of the Environment and Human-Centred Computing, with strong national collaboration.
  • This is a unique opportunity to build your research independence, grow your expertise in computational visualisation and decision support, and contribute to innovative solutions that shape sustainable land-use futures.

Matching Summary

Match Score: 75

** The University of Queensland is seeking a Postdoctoral Research Fellow specializing in computational visualisation for multi-objective sustainable land use planning. This full-time, hybrid position focuses on developing interactive tools for visual analytics and decision support, aimed at enhancing research in biodiversity and renewable energy. **

Salary

Base salary will be in the range $83,698.91 - $111,431.10; 17% Superannuation; Not specified

Skills & Requirements

Must-have

  • Computational visualisation
  • Visual analytics
  • Human-centred computing
  • Spatial environmental analytics
  • Interactive tools
  • Large, high-dimensional datasets
  • Programming languages (R, Python, JavaScript)

Nice-to-have

  • Land-use datasets
  • Multi-objective modelling
  • Usability testing
  • Cross-institutional collaboration

Key Requirements

  • PhD in computer science, information visualisation, visual analytics, human-centred computing (HCI), spatial data science, or related discipline
  • Emerging research profile in visualisation or decision support
  • Demonstrated research capability through publications and conference presentations
  • Proven ability or strong interest in working with large datasets
  • Proficiency in relevant programming languages
  • Strong collaboration and communication skills
  • Evidence of contribution to service

Work Rights

Must have unrestricted work rights in Australia

Tailored Resume

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