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2 Postdoc Positions on Machine-learning and Big Data Engineering

Applications are invited for a postdoctoral scholar position to join Eindhoven University of Technology. The funds for this position are available for two years. Applications should be sumbmitted as soon as possible.

Two Post-Doc 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 Post-Docs will contribute with an advisory, research dissemination, teaching, and mentoring role during the exploration and improvement of state-of-the-art machine- and deep-learning approaches and develop prototypes for the afore-mentioned analysis in the context of sound Empirical Software and Data 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. More specifically, one of the two Post-Docs will be actively involved in the EU H2020 RADON project with a co-supervisory role over a Ph.D. student; the post-doc will aid in the envisioning, prototyping, evaluation and dissemination of Defect Prediction approaches specifically designed for infrastructure code. In parallel, the second post-doc will be involved in the EU H2020 SODALITE project with a co-supervisory role over a Ph.D. student; together they will help envision, prototype, and evaluate design patterns and code smells detection facilities for infrastructure code as well as automated code refactoring mechanisms for smart service orchestration.

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 abo

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 Post-Docs 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 an additional year (at least, based on performance); 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]jads.nl. Candidates are asked to apply via the apply now button on this page and are askedto 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. Disclaimer

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

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