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Position: Research Data Scientist
Institution: Haute École d'Ingénierie et de Gestion du Canton de Vaud, in collaboration with NetGuardians
Location: Yverdon‐les‐Bains, Vaud, Switzerland
Duties: Project: "Active learning and Autoencoders for Fraud detection". The aim of active learning algorithms is to determine automatically which transactions in the dataset will need to be labelled, and which do not need to be labelled. Another challenge concerns the fraud detection with new methods. The most advanced companies in the financial industry have been pioneering advanced machine learning approaches such as deep neural networks. In this project we would like to use a particular form of them, autoencoders
Requirements: MSc or PhD in mathematics (possibly related to data science and machine learning algorithms), eventually in statistics with excellent academic and publication records (for postdocs); Very good knowledge of Python, Java or a similar programming language; proficiency in English
   
Text: HEIG-Vd has an opening for a Research Data Scientist TITLE: Active learning and Autoencoders for Fraud detection The researcher will participate to a research project in collaboration with NetGuardians (https://netguardians.ch) which regularly ranks among the most innovative Fintech start-ups in Europe. Machine-learning algorithms discover new fraud schemes, helping banks stay on top of emerging threats. One of the challenges that we have is the following: we receive a lot of data from banks (customer transactions, ebanking activity) which are used to perform fraud detection, and provide scores to the banks. The aim of active learning algorithms is to determine automatically which transactions in the dataset will need to be labelled, and which do not need to be labelled. Another challenge concerns the fraud detection with new methods. The most advanced companies in the financial industry have been pioneering advanced machine learning approaches such as deep neural networks. In this project we would like to use a particular form of them, autoencoders. More information on http://www.stephan-robert.ch/jobs Requirements • MSc or PhD in mathematics (possibly related to data science and machine learning algorithms), eventually in statistics with excellent academic and publication records (for postdocs) • Very good knowledge of Python, Java or a similar programming language • Excellent writing and verbal communication skills, as well as presentation skills. Besides proficiency in English, creativity, innovative and independent thinking is a must. He shows motivation to collaborate in an interdisciplinary international team, to participate in training programs, and is willing to travel to present his work to international conferences Activity: 100% Salary range • 50-60 kCHF (kUS$) for a PhD student position • 85-100 kCHF (kUS$) for a Postdoc position More information Stephan Robert (http://www.stephan-robert.ch) stephan.robert@heig-vd.ch or stephanr@illinois.edu Starting date • when available Contract • 12 months, renewable (until 4 years for PhD students)
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