Tenure track position for Assistant professor on Organizational Networks

Research / Academic

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.


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  

Salary Benefits:

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.

Work Hours:

40 hours per week


Sint Janssingel 92