DATA ANALYTICS GROUP
UNISA University of South Australia (UniSA) UniSA is one of Australia’s world-leaders in teaching and research, with proven high standards of academic excellence in engineering and technology.
Despite being a young university under 50 years old, the University has received a range of awards for outstanding education, student and graduate satisfaction, and world-class research. UniSA is ranked 24 in the QS World’s Top 50 universities under 50 years old.
Data Analytics Group (DAG) DAG (http://nugget.unisa.edu.au ) is a fast growing research group within the Advanced Computing Research Centre. It is a strong team in data management and data analytics.
The group’s research has been supported by nine Australian Research Council (ARC) discovery grants, and their research results have been published widely in top international journals and conferences.
The primary research interest of DAG is in extracting actionable information from complicated data to help with decision-making and automation.
Our research topics include data mining, predictive modelling, machine learning, and bioinformatics. We welcome strong candidates to join our group as PhD students, visiting scholars, or visiting/intern students.
We are looking for 1 PhD student working on Bioinformatics research: Bioinformatics is an inter-disciplinary research area which uses knowledge in Mathematics, Statistics, and Computer Science to solve biological problems. In the ‘big data’ era, Bioinformatics approaches are in demand to infer meaningful knowledge from the massive data available.
We are looking for a PhD student to work on our cancer research project, which aims to develop computational methods for cancer subtype discovery, cancer prognosis, and predicting treatment responses. The student will work with both data mining experts at DAG and wet-lab biologists at the Centre for Cancer Biology, UniSA.
Stipends: AUD 27,082/year (tax free), and AUD 2000/year for research activities.
Degree Requirements 1. First-class Honours or equivalent in Computer Science or Bioinformatics. It is great if you have publications, but this is optional.
Or 2. Master degree in Computer Science or Bioinformatics with two or more publications.
1. A demonstrated ability to program and/or write software.
2. Demonstrated high level communication and interpersonal skills that contribute to effective team work.
3. Knowledge in data mining / machine learning.
4. Good background in Mathematics.
5. Knowledge in Biology/Bioinformatics is a plus but not compulsory.
Interested candidates please send your CV and a one-paged cover letter addressing the key requirements to: Dr Thuc Le (Thuc.Le@unisa.edu.au).