The Centre for Science and Technology Studies (CWTS, www.cwts.nl) would like to recruit a part‐time research assistant to support its data science research & development projects.
The CWTS focuses on dynamics of scientific research and its connections to technology, innovation and society. The research conducted at our institute is partially based on very large databases of scientific and technical publications and patents, each with tens of millions of records and billions of citations. To support our advanced quantitative research, we are continuously improving and expanding this data infrastructure and its underlying information sources.
The ideal candidate should have a background in quantitative sciences (economics, mathematics, statistics, physics, computer science, etc.) or experience in two or more technical skills, as listed below. Key skills include programming and data analysis, and the ability to work in an interdisciplinary team. The tasks to be conducted will relate to the development of Machine-learning models and the application of data mining methodologies to the study of scientific knowledge production.
Required technical skills
Master thesis research
Depending on the candidate we may offer the possibility to combine these activities with university training programs, such as contributing to research for a Master’s thesis.
The position will be for 1, 2 or 3 days per week. The salary range will be stipulated according to the Leiden University standard.