Fraud Detection

Job – ULB – Postdoc in Machine Learning – 2 years

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ULB

ULB MLG Brussels: Postdoc in machine learning, data science and big data for security (e.g. fraud detection)

2 year postdoc position

Description

Research in big data and scalable machine learning with application to security problems (e.g. fraud detection) in the context of a project funded by Brussels Region.

http://mlg.ulb.ac.be/BruFence

Required skills:

  • you have a PhD in Machine Learning, Computational Science, (Bio)Engineering, Data Science, or equivalent.
  • Expertise in statistical machine learning, data mining, big data, map reduce, Spark, python, R programming.
  • Plus: expertise in application of big data mining to real problems, security applications, notably credit card fraud detection
  • You are fluent in English.
  • The successful applicant will be hosted by the Machine Learning Group, co-headed by Prof. Gianluca Bontempi.

    Starting date: asap
    For more information please contact Pr. Gianluca Bontempi, mail: gbonte@ulb.ac.be.
    Please send your CV, motivation letter and contact information for three references, publication list with indication of the citation number of each published paper.

Nr of positions available : 1

Research Fields

Computer science – Modelling tools

Career Stage

Experienced researcher or 4-10 yrs (Post-Doc)

Research Profiles

First Stage Researcher (R1)

Comment/web site for additional job details

mlg.ulb.ac.be

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Event – Antwerp – Data Mining for Auditing and Fraud Detection

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Antwerp Tax Academy

Data Mining for Auditing and Fraud Detection

Date: 06/11/2014 until 06/11/2014
At: 14:00

Program

  • 14.00-14.05 pm: Welcome by representative UAntwerp
  • 14.05-14.25 pm: Introduction by State Secretary for Social and Fiscal Fraud John Crombez
  • 14.30-15.15 pm: Introduction to Data Mining and a Case in Residence Fraud Detection by prof. dr. ir. David Martens (UAntwerp)
  • 15.15-16.00 pm: Data Analysis for Better Auditing and Policy Making by Rudy Genbrugge (DG for Agriculture and Rural Development, European Commission)
  • 16.00-16.15 pm: Break
  • 16.15-17.00 pm: Process Mining for Auditing and Fraud Detection by prof. dr. ir. Wil van der Aelst (TU Eindhoven)
  • 17.00-17.45 pm: Panel discussion on the application and use of data mining with questions from the audience

    Panel led by representatives of ATA and

    • Willem Debeuckelaere (president Belgian Privacy Committee)
    • John Crombez (Belgian State Secretary for Fraud)
    • Harold Van Koeckhoven (CEO of the Institute of Internal Auditors (IIA) – Belgium)
    • Dierk op ‘t Eynde (Coordinator data mining at FOD Financiën)
    • Luc Toelen (Instituut der Bedrijfsrevisoren)
  • 17.45-17.50 pm: Closing remarks by representative AMS, followed by reception.

Practical info

In collaboration with

  • Antwerp Tax Academy
  • Antwerp Management School
  • Association of Certified Fraud Examiners.