Junior Lecturer in Data Analytics and Digitalisation

Research / Academic

The choices we make can have broad impact, including election outcomes, product/brand success and social (dis)obedience. The way that humans make choices or exhibit preferences are often influenced by various contexts: the set of choices available, environmental contexts and/or social factors such as conformity and contagion. This project will investigate factors that influence these preferences by discrete choice modelling using Bayesian inference and graph algorithms.

You will contribute to teaching in the bachelor programme in Business Analytics, a selection of master programmes, and supervise thesis projects. Alongside teaching, you will conduct research on discrete choice modelling and human decision making in complex social systems towards a PhD thesis. You will work with an interdisciplinary team of researchers with expertise in discrete choice modelling, network science, algorithms, optimisation, and machine learning.


The candidate will be responsible for developing novel probabilistic network models and using Bayesian inference to fit these models to real-world systems. The candidate should therefore:

  • Hold a Master degree in Statistics, Mathematics, Computer Science, Physics, or another domain with a strong computational and mathematical background;
  • Have strong programming skills;
  • Have a passion for interdisciplinary teaching and research;
  • Be motivated to work independently and within a team and be open to collaborations across scientific fields;
  • Have excellent verbal and written communication skills in English.

Prior experience with Bayesian statistics and/or network science would be advantageous.

Salary Benefits:

As a Junior Lecturer at The School of Business and Economics you will be employed by the most international university of the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

  • Good employment conditions. The position is in grated in Teacher 4 salary scale with corresponding salary ranging from € 3.226,- to € 5.090,- gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus are applicable;
  • An employment contract for a period of 18 months with a scope of 1.0 FTE. Upon a positive evaluation, an extension of  4.5 years will follow;
  • As Family-friendly University, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model;
  • As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students;
  • Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'.

The terms of employment at Maastricht University are largely set out in the Collective Bargaining Agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, Click here

Work Hours:

38 hours per week


Tongersestraat 53