Description
JADS: Postdoc Machine-learning & Big Data Engineering for Security & Safety
Position
(Post-doctoral) Researcher
Department(s)
Mathematics and Computer Science
Institutes and others
JADS Den Bosch
FTE
1,0
Date off
15/08/2022
Reference number
V32.5858
Job description
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.
Job requirements
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.
Conditions of employment
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).
Information and application
For more information about the project, please contact Prof. Dr. Willem-Jan
van den Heuvel (email 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.
You can apply via the ‘apply now' button on this page.
Applications via other canals are not taken into consideration.
The deadline for submitting your application is August 15th, 2022. Starting
date of this position is as soon as possible, but preferably no later than
October, 1st 2022.
