Utrecht University is one of the oldest universities in the Netherlands. It has distinguished alumni, including 12 Nobel Laureates.
Host Country: Utrecht, the Netherlands
Host University: Utrecht University
Name of the PhD: Network Science
Number of Awards: Not specified
Responsibilities:
- conducting the research (e.g., literature review, developing network algorithms, analyzing data);
- writing international scientific publications and a dissertation that combines the theoretical and statistical aspects of the project;
- giving presentations at (inter)national scientific conferences;
- active participation in the research team of the UU Department of Methodology and Statistics and the Department of Interdisciplinary Social Sciences (ISW);
- knowledge utilization: collaborating and sharing findings with practitioners (e.g., professional publications and presentations for partner organizations);
- following courses/training (e.g., statistical and network science courses).
Benefits:
- You will work in a collaborative, social, and dedicated team. We will guide you in your research and teaching tasks, which will help you develop your academic career.
- Salary will range from €2541,- in the first year to €3247,- in the fourth year in the P-scale (Collective Labour Agreement Dutch Universities) per month based on full-time employment. The salary is supplemented with an annual holiday pay of 8% and an end-of-year bonus of 8.3% per year. We also offer a pension scheme.
- We encourage you to grow professionally and we support a healthy work-life balance. That’s why we offer employee benefits such as professional development, leave arrangements, partially paid parental leave and sports. We also give you the opportunity to expand your terms of employment via the Employment Conditions Selection Model.
- And that's not all. We are happy with you as a new employee and are happy to give you a warm welcome. We host a good introduction process for our new colleagues where we will introduce you and show you around our faculty and university.
Eligibility:
We are looking for an enthusiastic colleague who meets the requirements below:
- You have completed (or almost completed) a Master’s degree in a domain relevant to the project, for instance, methodology and statistics, computer science, complex systems, data science, mathematics, or quantitative social science.
- You have substantial programming skills.
- You have a passion for interdisciplinary research.
- You are a motivated and collaborative team member, communicative and open to collaboration across scientific fields.
- You are willing to contribute to Open Science.
- You can work independently and have excellent verbal and written communication skills in English.
Application Deadline: 15 July 2022
Application Link:
Interested applicants can check this link for details - https://cutt.ly/WLy0OD7
