Doctoral Candidate (PhD student): Machine Learning for real-time incident detection and root cause analysis
Université du Luxembourg
Luxembourg, Luxembourg
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Your Role

The PhD candidate will be supervised by Dr. Marinos Kintis and Prof. Yves Le Traon from the University of Luxembourg / SnT and by Bryant Chan from Paypal San Jose.

To enable a smooth collaboration between SnT and Paypal, the PhD candidate will be required to spend his time at the University of Luxembourg, at Paypal Luxembourg and at Paypal-

San Jose (several months per year).

The team you will be working with :

  • University of Luxembourg
  • Prof. Yves Le Traon : supervisor, University of Luxembourg

    Dr. Marinos Kintis : direct advisor, University of Luxembourg

  • Paypal
  • Rukmangathan Rajendran, software engineer, Paypal direct advisor

    Bryant Chan, Director of Engineering, Paypal research project manager

    Vadim Kutsyy, Distinguished Architect, Data Science, Paypal research project manager

    Tasks :

    The candidate’s tasks include the following :

  • Conduct research on anomaly detection in the service-oriented environment of Paypal
  • Create high-quality software in collaboration with our partner that will be deployed at its premises
  • Disseminate research outcomes in scientific papers and conferences, leading to a PhD thesis
  • For further information, please contact (CC ).

    Your Profile

    The successful candidate needs to satisfy the following requirements :

  • M.Sc. degree in Computer Science or related fields
  • Excellent background in anomaly detection
  • Strong background in Machine learning
  • Excellent programming skills and good knowledge of scripting languages
  • Fluent written and verbal communication skills in English
  • Commitment, team work and critical thinking
  • Any of the following is considered an advantage :

  • Previous industrial and / or research experience
  • Background in time series analysis
  • Background in service-oriented system architecture
  • We offer

    The University offers a Ph.D. study program with a Fixed Term Contract up to 3 years in total, pending satisfaction of progress milestones (CDD), on full time basis (40hrs / week).

    A contract extension to a fourth year is possible. The University offers highly competitive salaries and is an equal opportunity employer.

    You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university.

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    Formulaire de candidature