12 software-formal-method-phd PhD positions at Erasmus University Rotterdam in Netherlands
-
Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
-
, including: Advanced training in mixed methods research (qualitative, comparative, and structured data analysis) Experience with international fieldwork in the Netherlands and the UK A publication-oriented PhD
-
Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
-
prior to entering the PhD program. The willingness to obtain method expertise is expected. Required profile We welcome applications from a wide variety of backgrounds and perspectives. Candidates applying
-
quantitative and qualitative methods. As a PhD candidate in our section, you can design your own PhD project. The themes described below serve as inspiration and reflect the expertise of the department
-
Listen Published Tuesday 17 Mar 2026 Deadline Sunday 19 Apr 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment 1
-
Listen Published Wednesday 25 Feb 2026 Deadline Friday 27 Mar 2026 Work area PhD Organisational unit Erasmus School of Philosophy (ESPhil) Salary € 3.059 - € 3.881 Employment 0.8 fte - 1 fte
-
Listen Published Monday 23 Mar 2026 Deadline Thursday 7 May 2026 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 3.059 - € 3.881 Employment
-
Listen Published Thursday 12 Mar 2026 Deadline Friday 24 Apr 2026 Work area PhD Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 3.059 - € 3.881 Employment 0.8
-
, startup acquisition, and startup wage setting. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data