PostDoc On Machine-Learning And Big Data Engineering (0,8 – 1,0 Fte)
Eindhoven University Of Technology
PostDoc on Machine-Learning and Big Data Engineering (0,8 – 1,0 fte)
Mathematics and Computer Science
Institutes and others
JADS Den Bosch
JADS is actively seeking one 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 prospective candidate will be engaged in the Dutch SENTINEL project (coding and analysis to fight labor exploitation of immigrants)
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 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 post doc 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;
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.
Obtained a PhD in a relevant discipline, or will obtain a PhD within 3 months,
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 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.
Conditions of employment
The junior researcher will be employed at Tilburg University. We offer:
A 0.8-1.0 fte agreement for one year
The position will be ranked in the Dutch university job ranking system (UFO) as researcher 4. The starting gross salary for a full-time appointment is (minimally) € 3.270,- 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).
For more information about our terms of employment, we refer to our website www. tilburguniversity.edu
Information and application
Information and application For more information about the project, please contact prof.dr. Willem-Jan van den Heuvel (W.J.A.M.v.d.Heuvelatjads.nl ).
Candidates are asked to provide a motivation letter and a detailed CV, proof of English proficiency (TOEFL/IETS) and two reference letters. The deadline for submitting your application is November 12, 2021.
Starting date of this position is as soon as possible, but preferably no later than December, 15 2021. The only way to apply is online, which can be done via Post doc position on Machine-Learning and Big Data Engineering (0,8 -1,0 fte) (successfactors.eu)
We do cool stuff that matters, with data. The Jheronimus Academy of Data Science (JADS) is a unique cooperation between Eindhoven University of Technology (TU/e) and Tilburg University (TiU). At JADS, we believe that data science can provide answers to society’s complex issues. We provide innovative educational programs, data science research, and support for business and society. With a team of lecturers, students, scientists and entrepreneurs – from a wide range of sectors and disciplines – we work on creating impact with data science. We do this by connecting people, sectors and industries: in the past 5 years we have been working with 300+ organizations on data-related projects. Our main drivers? Doing cool stuff that matters with data. Our location at the former monastery Mariënburg in Den Bosch houses a vibrant campus fully dedicated to data science.