JADS is actively seeking a postdoc for several research and development projects revolving around

Big data architectures, data quality, and safety and security of cyber-physical systems. In several projects machine-learning and deep-learning approaches are used for the further analysis of security and safety issues in cyber-physical systems along the stack from infrastructural-code to application-level code. Special emphasis will be placed on how services- and quantum computing can be tailored to leverage this.

The Post-Doc will contribute with a development, 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 thus in the context of sound (Big) Data Engineering and Data Governance research.

The applications will also be developed by industrial commercial partners in the scope of several national and EU Horizon and Europe actions (and their successors) and will include additional functionality providing the user with further industrial data and information from the value-generating industrial and societal context. Notably, the prospective postdocs will be engaged in the Dutch SENTINEL project (coding and analysis to fight labor exploitation of immigrants), and the Smart City Monitor (project on safer and more sustainable cities involving predictive analytics, deep learning and AI engineering ), etc.

This vacancy is opened in the collaboration of the Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch (campus Mariënburg), Tilburg University (TiU), Eindhoven University of Technology (TU/e) and the commercial, industrial and academic partners part of the actions above.

Profile
The research will be conducted under supervision of Prof. Dr. Willem-Jan van den Heuvel and Dr. Damian A. Tamburri. The postdoc is expected to deliver both long-term results (understanding of machine learning, data engineering and governance, cyber-physical systems, (cyber) security) 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 (be proficient in Java, C++ and Python).
• 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.
   

Candidates should:

• Have a MSc. in Mathematics, Statistics, Computer Science, Computer Engineering, AI or a related discipline.
• Have a strong interest in data engineering and governance, machine-learning and deep-learning.
• Have excellent programming skills (in Java, C++ and Python) 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.

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 until December 21st 2023;
• Salary will be determined based on background and experience in a range of €2.960,= and €4.670,= gross 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).