Positions in Applied Data Engineering: Big Data Management & Governance

To further shape and strengthen our Applied Data Engineering team, we seek enthusiastic colleagues who have completed a PhD degree in applied data/software engineering, information systems, computer science, or a related discipline (e.g., cloud service computing), who hold a strong track record in research demonstrated by internationally recognized publication(s), and who have proven to be excellent lecturers, as witnessed, for example, by (very) positive teaching evaluations.

Since we are particularly high-impact and high-relevance research-oriented, you should be interested to develop application specific solutions in domains such as agro-food, and, safety and security. We refer to this as flavor of data engineering as 'applied data engineering' that ultimately aims at business expansion or entrepreneurial growth. We are thus particularly interested in scholars who develop and experiment with new and creative data-driven and applied data engineering approaches in conjunction with data entrepreneur- or business scholars and practitioners in the before-mentioned domains.

Although we thus encourage applications in all areas of Applied Data Engineering, our group is particularly looking to increase its strength in (1) applying machine-learning solutions to data-pipelines and data lakes, (2) quality and compliance aspects in distributed data-intensive computing, and, (3) digital servitization, edge-computing and IoT. These three areas also pertain to data-driven national and EU projects that currently run, and revolve around entrepreneurial governance, privacy-by-design, and, security and safety in the security and agro food domains.

We invite applications for a position at the level of assistant professor. The qualified candidate is expected to start asap. The profile of an applicant for this vacant data governance assistant professor position should address the following qualifications:

• Strong track record in computer science and/or information systems to address privacy and security policy compliance aspects involved in data governance;
• Ability to design, implement and interweave these aspects at the infrastructure, application, and enterprise level;
• Be able to adopt a data-driven perspective on automated data governance monitoring, root-cause analysis and remediation; and, last but not least,
• Interest and intrinsic drive to experiment with new methods and techniques in application domains such as agro-food, smart manufacturing, and, crime and safety.

The candidate will be involved in graduate courses such as data governance/management, data-driven blockchain management.

General requirements

• You have a Ph.D. or doctoral degree from a recognized university in a field relevant to Applied Data Engineering. In particular, you have excellent knowledge about modern data science engineering techniques and a deep interest to apply these in research on entrepreneurial or business challenges in the following application domains: agrofood, safety and security, and, smart industry and servitization.
• You boast excellent scientific achievements, documented by internationally recognized publications, organized workshops and/or conferences, and research projects;
• You have demonstrated an excellent teaching ability at both the undergraduate and graduate levels;
• You have excellent communication skills (oral, written, and, presentation);
• You share our vision for future research, education and societal impact;
• You are inspiring and collegial; you have a passion to develop people, to build teams, and to create synergy;
• You have shown to possess capacity of acquiring, leading, and managing externally-funded research projects;
• You have affinity with interdisciplinary research and with working with different type of academics and businesses; and,
• You like to experiment with research results, and apply novel techniques and methods to application domains, including, agro-food, smart manufacturing, and, safety and security.

Our Offer

A position at the vibrant JADS Mariënburg campus for five years for 0.8 - 1 FTE as an assistant-professor, with a potential continuation as a tenured assistant/associate professor.
 
In particular, after two years the contract may be continued either as a tenure track position, or for at least three years as a regular assistant professor position. In case after two years the candidate continues in the tenure track, the position can become tenured after four/five years if the candidate satisfies the tenure requirements of JADS Mariënburg.
 
Note that the position comes with a very attractive job package that features benefits including pension subsidence, insurance discounts, career support spouses, ample vacation days (41), and a fixed end-of-year bonus (8,3%), to mention but a few. 
 
The gross salary is largely determined by the Dutch labour agreement (CAO NU) for universities, namely scale 11 (a maximum annual gross salary of € 69,500) and we aim to offer a competitive salary within this framework.