2 PhD Positions on Machine-learning and Big Data Engineering

Applicants are invited to apply for a PhD scholarship at Eindhoven University of Technology. The funds for this fellowship are available for three years. Applications should be sumbmitted as soon as possible.

Two PhD positions on Machine-Learning and Big Data Engineering for Software-defined Infrastructure Code Quality.

The goal of this project is to develop and evaluate machine-learning campaigns as well as big data architectures that continuously analyze software-defined infrastructures, their qualities, code smells, qualities as well as runtime adaptation possibilities in the scope of DevOps continuous evolution. The PhD student will explore state-of-the-art machine-learning approaches and develop prototypes for the afore-mentioned analysis in the context of sound Empirical Software Engineering research. The to-be-developed approaches and algorithms will contribute to high-relevance/high-impact research in the context of two EU H2020 Projects focused on the afore-mentioned topics and most notably, serverless computing.

The applications will also be developed by industrial commercial partners in the scope of the afore-mentioned H2020 actions and will include additional functionality providing the user with further industrial data and information from the value-generating industrial context.

The project is a collaboration of the Jheronimus Academy of Data Science (JADS), ‘s-Hertogenbosch (campus Marinburg), Tilburg University (TiU), Eindhoven University of Technology (TU/e) and the commercial, industrial and academic partners part of the actions above.


The research will be conducted under supervision of prof.dr. Willem-Jan van den Heuvel and dr. Damian A. Tamburri. The students are expected to deliver both long-term results (understanding of machine learning in quality evaluation of software-defined infrastructures) and mid-term results (algorithms, approaches, high-impact/high-relevance papers, and best practices). The successful candidate is expected to: Participate in activities of the group, mainly in ‘s-Hertogenbosch but sometimes also in Eindhoven or Tilburg or at one of the commercial partners in several locations in Europe.

The PhD student will be employed at Tilburg – or Eindhoven University.

We offer: The selected candidate will start with a contract for one year, concluded by an evaluation after approximately 10 months. Upon a positive outcome of the first-year evaluation, the candidate will be offered an employment contract for the remaining three years. A minimum gross salary of 2.266,- per month up to a maximum of 2.897,-., in the fourth year; A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually); Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf; The opportunity to perform cutting edge research in a large-scale joint data science project involving TiU, TU/e, JADS and a commercial partner and bringing together expertise of several senior researchers; Support for your personal development and career planning including participation in courses, summer schools, conference visits, research visits to other institutes (both academic and industrial), etc.;

For more information about the project, please contact prof.dr. W.J.A.M. van den Heuvel, email: w.j.a.m.v.d.heuvel[at] Candidates are asked to apply via the apply now button and provide a motivation letter and a detailed CV. The deadline for submitting your application is December 16.Starting date of this position is as soon as possible, but preferably no later than February 1, 2019.


The text of this vacancy advertisement is copyright-protected property of Eindhoven University of Technology. Use, distribution and further disclosure of the advertisement without express permission fromTU/e is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of the University. Responses resulting from recruitment by non-contractors ofthe Universitywill not be handled.


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