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.

• 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.

Fixed-term contract: 2 years with extension.

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.

JADS: Academic Interdisciplinary Institute on Data Science and Artificial Intelligence

The Jheronimus Academy of Data Science (JADS) is the unique and recent (since 2016) collaboration of two renowned research universities bringing together their top academics to further the interdisciplinary academic field of data science and AI. JADS is an institution that aims to build two bridges. The first bridge is the bridge between (digital) technology and the social sciences. The second bridge is the bridge between academia and society. JADS offers nine academic educational programs (Bachelor, Master, PD.ENG, PhD and Professional) and three research centers. 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 main train station. It is the place where academics with engineering and business/social science competences meet each other and participate in a wide-spread innovative ecosystem. The Mariënburg campus hosts lecture halls, academic labs, student apartments, data start-ups and corporate data labs. By mixing students, academics, and companies, all around the topic of data science, we aim to cross-fertilize, innovate, and transform data into value-adding insights and wisdom to advance society at large.

JADS Mariënburg: Creating solutions on the crossroads of Technology and Society

The JADS Mariënburg campus hosts four academic disciplines that follow the basic set-up of the Data Value Chain; i) Data Engineering, ii) Data Mining, iii) Data Decision Making, and iv) Digital Entrepreneurship. For these four research groups, we are looking for professors, associate-professors, assistant-professors, and tutors. We look for curious, open-minded researchers who want to excel in their field of research, but who are open to discussions with researchers from adjacent fields. T-shaped researchers who build credibility by aiming for the highest scientific contribution in their field but also engage actively with other disciplines to understand and appreciate their norms, theories, approaches and breakthroughs. Researchers who not only pursue top-publications, but who are also interested in creating open innovative digital services for the wider community. Researchers who are open to work with society and who really want to use science to make this world a nicer place, who want to contribute to effective novel and more digital forms of education and innovation. In short: we look for open, smart researchers who love to work at an interdisciplinary academic institute that mixes engineers, statisticians, and social scientists.

While we primarily have academics with data science (i.e. Statistics, Computer Science) and business (i.e. Entrepreneurship, Organizational Science) backgrounds, Mariënburg mixes these disciplines with academics who possess deep domain/industry knowledge (e.g. Agriculture, Smart Industry, Smart Cities, Sport, Crime, Mobility, et cetera). Our Experience is that working in such an interdisciplinary setting leads to more creativity and ultimately to social and scientific value.  

JADS Mariënburg: the place for passionate, high-impact and high-relevance academics

We are primarily interested in building a team of scientists who are open to collaboration and share the same interests and needs. As a young institution we are looking for sensible and practical researchers with a can-do mentality who are team players and want to connect to other fields. Off course, from all our researchers we expect a strong background in quantitative and statistical methods and an affinity with data and computer science. We believe in the passion of our researchers and have processes in place to reward and pursue bottom-up ideas of our researchers.

Regarding education, we expect our researchers to be involved in our educational programs. As a rule, we follow the Dutch VSNU norms, which roughly says that our academics spend 50% of their time on education and 50% on research. We are currently responsible for the (technical) Master Data Science and Entrepreneurship, the PDENG Data Science and a PhD-program in Data Science. These are all selective programs for highly motivated students with strong quantitative skills. We also provide various professional learning educational programs around data science & AI and are busy setting up new Master and Minor programs on the cross-roads of beta and gamma. As concepts as MOOC’s and Blended-Learning are becoming ever more relevant in our field, we expect our researchers to contribute and, if possible, to begin novel, innovative forms of education.

JADS Mariënburg currently boasts 40 FTE, including support- and scientific faculty staff, 60 PDEng- and 25 PhD students and is growing very fast. We give experienced researchers the opportunity and expect them to help us shape and build the academic teams in Mariënburg. On top of this we are intensively collaborating with both colleagues from Tilburg University and Eindhoven University of Technology. 

Moreover, we foster a very strong and active, national and international network with both industry and academia, offering a great launching pad for quantitative data science/AI research and educational initiatives.