News
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 […]
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