Welcome to visiting PhD researcher, Pouria Akbari

A warm Brisbane welcome to Pouria Akbari who joined us this week from Norway! Pouria is a visiting PhD researcher from the Department of Information Systems at the University of Agder (UiA). He will be based with the CIRES Team at The University of Queensland and collaborating with Chief Investigator Dr Ida Asadi Someh and Dr Tapani Rinta-Kahila from the UQ Business School. Pouria’s research focuses on the intersection of algorithmic decision-making and citizens’ fairness perception, particularly in the context of socially disruptive systems.

“I am excited about the chance to engage in research and contribute to discussions through the Centre’s Information Resilience PhD School next week, along with workshops and seminars at the upcoming UQ Business Information Systems conference. This collaboration will enhance my understanding of the challenges and opportunities in the responsible use of AI”.

Postdoctoral Research Fellow position at UQ

Applications close 20th November 2024


We are recruiting for a Level A postdoc fellow to join us in the ARC Training Centre for Information Resilience (CIRES) at The University of Queensland in sunny Brisbane, Australia. International candidates are also welcome to apply as visa sponsorship may be available for this appointment.

This position will advance research and development in the area of sepsis prediction, with a focus on improving outcomes through data-driven approaches. This is an exciting opportunity for a Postdoctoral Research Fellow to contribute to innovative research developments within the scope of multimodal clinical data mining and will assist with developing a prediction system for paediatric sepsis in the paediatric intensive care unit (PICU).

This multisite position will be mainly situated at the ARC Training Centre for Information Resilience (CIRES) at The University of Queensland and will involve collaboration across various projects with our government partner, Queensland Health. The successful candidate will also work at the Child Health Research Centre (CCHR), collaborating with healthcare professionals to ensure the clinical relevance of the models developed. As a research focused academic at level A the incumbent will be supported and guided by more senior academic research staff with the expectation of an increasing degree of autonomy over time.

We are seeking a candidate with:

  • Completion or near completion of a PhD in Computer Science, Data Science, or a related field, with a strong focus on deep learning and artificial intelligence.
  • Demonstrated expertise in developing and applying advanced deep learning techniques, preferably in handling and integrating multimodal data or time series data.
  • Demonstrated expertise in developing efficient models for data processing in environments with limited computing resources.
  • Strong programming skills in Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • A track record of peer-reviewed publications in high-impact journals or premiere conferences relevant to data management and data mining.

See the full position description and how to apply:

Applications close Wednesday 20th November 2024 at 11.00 pm AEST.

This position will be based in the Australian Research Council (ARC) Industrial Transformation Training Centre for Information Resilience (CIRES) at UQ, and working across multiple projects with industry and government partners, providing a wealth of experience in multi-disciplinary teams, research planning, and industry and public sector dynamics. The successful candidate will have the opportunity to work directly with the Centre’s partners, with an expected third of their time dedicated to working with partner organisations.

Questions? For more information about this opportunity, please contact Professor Shazia Sadiq

Welcome to visiting PhD researcher, Timo Spinde

Welcome to Timo Spinde who joined us this week from Germany! Timo is a visiting PhD researcher from the The University of Göttingen. His research is primarily focused on automatically identifying media bias, and he coordinates the Media Bias Group a research network dedicated to studying media bias. During his PhD, Timo also founded a local German-based fashion company, Bodenseeliebe. He will be based with the CIRES Team at The University of Queensland.

“I am excited to join CIRES for the next few months. Together with Associate Professor Gianluca Demartini, we will work on a project comparing processes that increase media literacy based on both human-generated and computer-generated bias explanations. I am very much looking forward to getting to know Australia, Brisbane, UQ, and ideally finding partners for future projects”.

ATSE Fellows Showcase and Award Gala Dinner

Centre Director Professor Shazia Sadiq FTSE attended the Australian Academy of Technological Sciences & Engineering New Fellows Showcase and Award Gala Dinner, meeting with Australia’s Chief Scientist Dr Cathy Foley, and The Hon Ed Husic MP, Minister for Industry and Science. We extend our warm congratulations to Professor Lyn Beazley AO FTSE FAA as this year’s President’s Medal recipient, to the award recipients, and to all the 32 new Fellows including our colleagues from The University of Queensland Professor Lianzhou Wang FTSE FAA, Professor Xiwang Zhang FTSE, and Anne-Marie Birkill FTSE.