The Department of Mathematics of the University of Oslo offers a three years fellowship to a PhD student in statistics/machine learning/data science.
The fellowships is part of a large program on personalised fraud detection. The successful PhD candidate will develop new statistical methodology for detecting different types of fraud, including insurance, social security and tax fraud, as well as for anti-money laundering. The project will involve among others development of statistical and machine-learning techniques for prediction, classification, anomaly detection and dimension reduction. Working language is English.
The PhD studies at the University of Oslo are characterized by a strong research profile: the PhD thesis usually includes several papers which are published in leading scientific journals, while the candidates are required to take a small number of advanced courses as part of the training component of their degree. The PhD candidate will be employed by the University of Oslo, thus enjoying all legal benefits in such a position, including health insurance, pension contributions and family welfare benefits. Very competitive salary.
For further information regarding the position, please contact: associate professor Ingrid Hobæk Haff, email@example.com
Deadline: Wednesday, January 31, 2018