• Description:

    During the project, you will closely collaborate with industry and a doctoral training network spread throughout Europe, including extended research stays abroad.

    The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioural Management and Social Sciences (BMS).


    • Master’s degree or equivalent experience in Finance, Economics, Engineering, Information Technology, Computer Science or related fields;
    • A strong passion and outstanding skills in data science and experience working with programming languages such as Python and libraries such as sklearn, and recommender systems libraries (e.g., recmetrics, surprise);
    • Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research methods;
    • Knowledge of investments and portfolio construction;
    • The ability to work on real-world problems in an interdisciplinary and internationally oriented environment;
    •  Good communication skills and an excellent command of English.



  • Fields

    • Computer Engineering

    • Computer Science

    • Economics

    • Engineering

    • IT

  • Qualifications

    • Master

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