Tenure track position for Assistant professor on Organizational Networks

Tenure track position for Assistant professor on Organizational Networks

Published Deadline Location
12 Jun 1 Sep 's-Hertogenbosch

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Job description

This TT will work closely with the academics in data modelling on pricing and proposition decisions, understanding the role of IT and businesses in building data networks (pipelines, API’s) from both an entrepreneurial and technical perspective. This TT will be involved in courses such as Data Entrepreneurship in Action I, II and III, Entrepreneurial Marketing, Social Networks and the Master thesis. Moreover, the TT will be involved in Professional Education regarding topics on Digital Ecosystems, Platforms & Markets.


Tilburg University


The Organizational Network tenure tracker has a background in Social Network Analysis, computational social science, or computer science. The candidate should have strong expertise in quantitative methods (preferably statistics) and have affinity with machine learning and computer science. Part of the candidate’s research will be on the development of tools and approaches for the collection of time-stamped interaction data in organizations, for example by accessing the digital traces employees leave during their daily activities. In addition, mining longitudinal social network data from other sources will also be of interest. Here, computer science skills will be particularly useful.


We invite applications for a Tenure Track position at the level of Assistant Professor. The successful candidate is expected to start ASAP. The profile of the Digital Entrepreneurship tenure tracker should address the following skills:

  • Track record in Entrepreneurship, Innovation Management, Organization Studies or related field
  • Understanding of novel quantitative methods and software (e.g. Python, R) in the social sciences and an affinity with Artificial Intelligence and Technology (e.g. Software)
  • Willingness to develop new measures of Intrapreneurship & Entrepreneurship using data science methods (e.g. Happiness and stress)
  • Enthusiasm to use modern Data Science methods to study ecosystems and platforms and related phenomena such as Revenue Models and Prices (e.g. freemium, dynamic pricing), Social Media and novel phenomena such as the emergence of data markets
  • Understanding of Network Analytics and related fields  

Conditions of employment

Fixed-term contract: 5 years.

A tenure track position for five years for 0.8 – 1 FTE as Assistant Professor.  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 position can become tenured after four years if the candidate satisfies the tenure requirements of JADS Mariënburg. 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.
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.


  • Professors, associate professors, assistant professors and lecturers
  • max. 40 hours per week
  • University Graduate
  • 16338



Sint Janssingel 92, 5211 DA, 's-Hertogenbosch

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