Data Sciences

Job Description

DATA SCIENCE: Natural Language Processing (NLP) and Conversational Systems, Big Data Processing Techniques and Platforms (Familiarity with Hadoop, Spark and MapReduce), Advanced analytics (Stream, Sensor, Spacio-temporal), Social web analytics, Algorithms and Data Structures, Data Integration and Warehousing, Visual Analytics I Explorative data analysis, Simulation Modelling, Object Relational and NoSQL Databases, Probability and Statistics, Al for Supply Chain and Operations Management, Data engineering and MLOps.

AI: Mathematics of Artificial Intelligence, Data Visualisation and Analytics, Machine Learning, Reasoning and Decision Making under Uncertainty, Data Structures and Algorithms, Optimisation, Deep Learning, Natural Language Processing and Models, Software Development for AI models, Introduction to Databases, Advanced Topics in Generative AI, Computer Vision.

Finance: Financial Markets & Institutions, Behavioural Finance and Economics, International finance, Monetary Economics, Financial Statement Analysis, Cost Accounting, Australian Business Environment

Qualification: PhD in relevant area from recognized institution, and experience in teaching in higher education. Doctorate in Business Management, Technology or relevant specialization areas as listed above and proven track record of teaching, consulting, research, or relevant industry experience.

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