Universiteit Leiden
Key responsibilities
The PhD candidate will be placed within the Social Intelligence Modelling lab (SIMlab) and the Text Mining and Retrieval group, and be supervised by dr. Gijs Wijnholds, dr. Max van Duijn, and prof. Suzan Verberne. The position involves the following key responsibilities:
Selection Criteria
The successful applicant should be a highly motivated university graduate with a strong track record as demonstrated by relevant experience, grades, and/or publications. The applicant is expected to have:
Research at our faculty
The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future.
Terms and conditions
We offer a full-time 1-year term position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary ranges from € 2.872,- to € 3.670,- gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities).
Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8,3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break.
D&I statement
Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.
Applications
Please submit online your application via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number:
Only applications received before the 11th of October 2024 can be considered.