We are looking for an enthusiastic colleague who ideally has obtained a PhD degree in law, ethics, philosophy or a related discipline that wants to work on the crossroads of academia and practice. On the one hand this tutor will be involved in teaching courses on data & law and data & ethics at JADS Mariënburg, on the other hand we are looking for an experienced academic that wants to lead our Ethical Commission. In this capacity the candidate should lead the whole process of assessing the ethical and legal aspects of our researchers and shape the policies regarding safeguarding the legal and ethical boundaries of our research.

We envision that 40% of the tutor’s time will be to teach students on legal and ethical aspects of data in our educational programs, 40% of the time is to shape and execute our research policies as well answer relevant questions of our students and staff. Finally, 20% of your time can be devoted to research on the crossroads of data, law and ethics.

The profile of the Digital Entrepreneurship tenure tracker should address the following skills:

• Keep abreast of new developments in relevant areas of law, ethics and data and be a subject matter expert
• Be the Head of our Ethics and Law Data Commission and shape its policies.
• Answering questions of students and researchers on Data, Law & Ethics
• Work together with colleagues from TU/e and TiU to deliver high quality teaching in our courses on Data, Law & Ethics  
• Prepare for teaching and teach in-classroom and online for specific programs
• Strive to obtain the highest level of teaching feedback from students
• Strive for relevant, practical research on the crossroads of law, data science.

Fixed-term contract: 4 years.

A temporary position for four years of 0.8 – 1.0 FTE as a Lecturer (1 year contract with an extension of 3 years after a positive evaluation). The position comes with an attractive job package that features benefits including pension benefits, 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 Mariënburg: Creating solutions on the crossroads of Technology and Society

The JADS Mariënburg campus 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.