PhD Researcher in the Field of Process Mining and Representation Learning

The specific goal of the project is to develop new representation learning-based techniques in the fields of business process management and process mining. The main idea of the research track is well summarized in our latest BPM 2018 paper, which can be downloaded here: https://drive.google.com/file/d/1D6mxcjIWbNWAycM2ZxMaRoQf62tR9Yhy/view?usp=sharing.

As a PhD-student, you are expected, next to your main research tasks, to participate in seminars and conferences, to enrol in the PhD program of the Faculty of Economics and Business, and to perform a limited amount of educational duties (e.g. supervising student master's thesis). For more information about the PhD programme in Business Economics, see https://feb.kuleuven.be/eng/prospective-students/doctoral-programme-in-business-economics-phd.

See also: https://feb.kuleuven.be/research/decision-sciences-and-information-management/liris/replearnphd

Master

Computer Science Engineering

Sector

IT

Locatie

Flemish Brabant

Stad

Leuven

Voordelen

We offer a fulltime employment as a doctoral scholar for 1 year, renewable till max. 4 years after positive evaluation. You will work under the supervision of Prof. Jochen De Weerdt and Prof. Seppe vanden Broucke.

You will be located at the Leuven Institute for Research on Information Systems (LIRIS) at KU Leuven (Leuven, Belgium). You will find a dynamic and pleasant working environment in this research group that is actively involved in scientific research at the highest international level in different domains such as business intelligence, data mining, process mining, conceptual modelling, model-driven engineering, and smart learning environments. Research projects in these domains are focusing both on fundamental research as on applied research. For more information, check our group's home page.

Gezocht Profiel

Candidates preferably have a master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science (Engineering), Machine Learning, Artificial Intelligence, or Statistics. Excellent (honors-level) results in prior studies are required. Candidates must satisfy the prerequisites for admission to the PhD programme of our faculty. In particular a GRE or GMAT result above the 75th percentile on the quantitative part and an English TOEFL (minimum score 575 paper-based, 233 computer-based, 90 internet-based), or IELTS (minimum score 7) test, both not older than 5 years are required to enter the program. In addition, we require:

Solid Python programming skills. Some Java knowledge preferred as well. Good background knowledge in the area of neural networks, knowledge of word2vec and associated techniques is a plus. Ability to work efficiently in a research setting, i.e. be able to investigate new research questions and solutions. Strong mathematical background.

Interested? If you want to apply, please send your CV and motivation letter to Prof. dr. Jochen De Weerdt ([email protected]) and Prof. dr. Seppe vanden Broucke ([email protected]). If you have further questions, you can contact us via email as well.

The vacancy will be open until filled, but we expect that you can start no later than September 1, 2019.

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