Your function

VacxSYS (FWO): For many human infectious diseases, especially those caused by pathogens for which no effective treatment exists, the development, production, supply and optimal allocation of effective vaccines is of paramount importance. However, achieving an effective balance between supply and demand in vaccine supply chains is challenging. Optimal decision-making in vaccine supply chains is highly complex due to the many uncertainties involved, the relative lack of responsiveness of the chain and the many different public and private objectives at stake. Current literature on vaccine supply chain management falls short of recognising this system-wide complexity. Moreover, it is important to take into account the various sources of uncertainty in the evolution of disease dynamics. To achieve the ultimate goal of access to vaccines and obtain the desired health and economic outcomes, it is crucial to link the supply subsystem and the disease subsystem. This allows to model the dynamics of both supply and demand, combined with a multi-criteria decision analysis. Various best-in-class scenarios to support key decision makers will be the final outcome of the project.

You will prepare a PhD dissertation and you will also present your research results in scientific publications and at (inter)national conferences. You will also participate in the 'Doctoral School of Sciences & Technology' and be part of the teaching team in the Department of Mathematics-Statistics. You will contribute limited to a teaching assignment. 

Your team

The Data Science Institute (est. 2019) brings together over 150 researchers working in the broad field of data science across faculties and research groups at Hasselt University. DSI's main objective is to facilitate the data-driven future. We are committed to data-related challenges, fundamental innovations and applicable solutions.

More information: www.uhasselt.be/dsi

Your talents

  • You have a master's degree in quantitative sciences, statistics, mathematics, computer science or engineering. (or equivalent)
    Final-year students are (likewise) encouraged to apply.
  • You are proficient in the use of common software programs, especially MS Office applications.
  • You are willing to further improve your knowledge and skills in line with professional needs.
  • You are willing to go on short trips abroad.
  • You are cooperative and can work well in teams.
  • You are able to report clearly and regularly.
  • You take a pragmatic approach to seeking solutions.
  • You are stress-resistant.
  • You are fluent in written and oral communication in English.
  • You can work well independently, paying attention to the need to communicate with colleagues and superiors.
  • You work accurately and pay attention to order and punctuality.

Our offer for you

You will be appointed and paid as PhD student.
We offer you a PhD scholarship for 2 years. This is renewable for another 2 years after a positive interim evaluation.

Apply for this position

The selection procedure consists of a preselection based on application file and an interview.

Apply now
Apply up to 30.04.2024

Question about this vacancy?

For substantive questions, send an e-mail to niel.hens@uhasselt.be. For questions about the selection procedure, please email jobs@uhasselt.be.

Hasselt University works to ensure that everyone is welcome, feels at home, and can do their best at our university. The diverse talents of our students and staff are a precious resource for our community and the engine of our future prosperity. Diversity of experiences and perspectives enriches our education, strengthens our research and increases our social impact. As a civic university, Hasselt University seeks to set a good example in the region in terms of diversity and inclusion. With our focus on justice and nondiscrimination, we are working together for a diverse and inclusive Hasselt University.

UHasselt does not accept any discrimination in terms of sex, sexual orientation and gender identity and expression, age, family situation or dependent children; disability; culture, religion/ideology; skin colour, ethnic origin; socio-economic background or situation.

Prof. dr. Niel HENS

Function
Full professor