Computer Science
[Closed]
Work description
1. Development of unsupervised state-of-the-art approaches for outlier detection in data streams; 2. Development of supervised state-of-the-art approaches for outlier detection in data streams; 3. Writing papers and reports/deliverables.
Academic Qualifications
Degree in Maths, Informatics, Data Analytics or similar
Minimum profile required
Knowledge of mathematics, Data Mining/Machine Learning.
Preference factors
Solid foundations in mathematics. Research experience and publications (quantity and quality). Domain of programming languages including Python, Java, R.
Application Period
Since 05 Oct 2022 to 18 Oct 2022
[Closed]
Centre
Artificial Intelligence and Decision Support