You cannot apply for this job anymore.
Browse the current job offer or choose an item in the top navigation above.
To strengthen our digital entrepreneurship team, we are looking for enthusiastic colleagues who have obtained PhD degrees in statistics, econometrics, quantitative social science or related disciplines, have one or more top publication(s), are excellent teachers, as witnessed, for example, by favorable teaching evaluations. We are specifically looking for academics with a strong quantitative background and understanding of quantitative social sciences e.g. computational social sciences, large scale experimentations, behavioral tracking, social-network analysis and agent-based modelling and want to apply this knowledge in the context of organizations, businesses and entrepreneurship.
Our quantitative approach is relatively unique in the field of entrepreneurship and helps us build strong relations with the other research groups at Mariënburg. Of course, where appropriate we mix qualitative and quantitative methods. We have a preference of using objective data from micro- to macro-level (e.g. behavioral trackers, data scraping) and develop new organizational measures to build and test novel theories. We are especially interested in using data and technology to get a better understanding of modern digital organizations. For example, we are interested in using technology to better measure concepts such as Time and Speed and their relation with organizational effectiveness.
But we are also interested in hearing your ideas, dreams and suggestions on research into digital organizations. This may range from studies on Software Start-ups (e.g. failures, pivoting) to studies of novel innovation ecosystems with collectives such as GitHub, TopCoder, and Kickstarter. And from studies of novel business models and revenue models (platform based, dynamic pricing) to novel methods of organizing (e.g. effectiveness of Agile, Scrum) in novel digital networks. And from Entrepreneurial Decision Making (e.g. social signal processing) to Digital Innovation with its focus on digital services (Digital Servitization).
We invite candidates to apply for the position at the level of Associate Professor. The candidate is expected to start around 1st January 2020. The profile of the Associate Professor should address the following skills:
This Associate Professor will closely collaborate with the current professors to further build the existing team and will be involved in determining and shaping the research policies and team in the future as we envision further growth of the team.
The Associate Professor will be involved in Master courses and the Master thesis. Moreover, the Associate Professor will also be involved in Professional Education regarding topics on Digital Entrepreneurship.
Fixed-term contract: 1 year with extension.
A one year contract and after a positive first year evaluation a permanent appointment for 0.8 – 1.0 FTE as Associate Professor. The position comes with an attractive job package that features benefits including pension benefits, career support spouses, insurance discounts, 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 13 (a maximum annual gross salary of € 85,600) and we aim to offer a competitive salary within this framework. The Associate Professor position in principle is for four years after which the position will be evaluated and might become permanent hereafter.
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.