Apply online and state the project code (CCTS3370217) and title in the personal statement section.
The successful candidate will have at least an upper second-class classification (or equivalent) in Computer Science, Mathematics or Health Informatics with excellent problem solving and solid programming skills. Experience in one or more of the following areas is highly desired: Data Mining, Machine learning, Health Informatics and/or Data Analytics.
References to recent published articles:
Perry, T., Bader-El-Den, M., & Cooper, S. (2015, May). Imbalanced classification using genetically optimized cost sensitive classifiers. In 2015 IEEE Congress on Evolutionary Computation (CEC) (pp. 680-687). IEEE.
Bader-El-Den, M., & Tieti, E. & Adda, M. (2016). Hierarchical classification for dealing with the class imbalance problem. In 2015 IEEE World Congress on Computational Intelligence (CEC) IEEE.
Celi, L. A., Galvin, S., Davidzon, G., Lee, J., Scott, D., & Mark, R. (2012). A Database-driven decision support system: customized mortality prediction.Journal of personalized medicine, 2(4), 138-148.
FTE Category A staff submitted: 13.00
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