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:

• Perform scientific research in the domain described;
•  Develop software that implements the algorithms described;
•  Present results at (international) conferences;
•  Publish results in scientific journals;
•  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.

Candidate should:

• Have a MSc. in Mathematics, Statistics, Computer Science, Computer Engineering, AI or a related discipline;
• Have a strong interest in machine-learning and deep-learning;
• Have excellent programming skills and be highly motivated, be rigorous and disciplined when developing algorithms and software according to high quality standards;
• Have good technical understanding of the statistical models used in data science and machine learning;
• Have knowledge of, or a willingness to familiarize themselves with, current research into machine learning for software engineering quality evaluation;
• Have a commitment to develop algorithms that analyze Big Data from software-defined infrastructures as well as Big Code;
• Be a fast learner, autonomous and creative, show dedication and be hard working;
•  Possess good communication capabilities and be an efficient team worker;
•  Be fluent in English, both spoken and written.

Fixed-term contract: 1 year with possible extension with 1 year.

The Post-Doc student will be employed at Tilburg or TU/e University.

We offer:

• A full-time position.
• 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 minimum gross salary of € 3.475,- per month;
• 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;
• Assistance in finding accommodation (for foreign employees);
• 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.;
• A broad package of fringe benefits (including excellent technical infrastructure, savings schemes and excellent sport facilities).

JADS

The Jheronimus Academy of Data Science (JADS) is the unique collaboration of two renowned universities bringing together their top academics to further the emerging and multidisciplinary academic field of data science. JADS not only offers nine academic educational programs (Bachelor, Master, PD.ENG, PhD and Professional) but also hosts three research centers; the Data Science Center Eindhoven (DSC/e), the Data Science Center Tilburg (DSC/t), and the Data Science Center Den Bosch (DSC/db) at the new Mariënburg campus. At these centers we conduct groundbreaking research on data science and create concrete societal value.

The new Mariënburg campus on Data Science is located in a historic and beautiful former convent in the heart of the medieval city of ‘s-Hertogenbosch and is within walking distance from the central train station. It is the place where academics with engineering and business/social competences meet each other and participate in a wide-spread data science ecosystem. It is a buzzing and diverse place where learning based on data has center stage. The Mariënburg campus hosts lecture halls, academic labs, student apartments, data start-ups, corporate field labs, a coder dojo, and a data artist. By mixing students, academics, and companies, all on the topic of data science, we aim to cross-fertilize, innovate and transform data into value-adding insights and wisdom to advance companies, governments and society at large.