Centre for Science and Technology Studies Centre for Science and Technology Studies 2333AL Leiden Zuid Holland 31715273909


On this page you will find information on all job vacancies currently available at Leiden University’s Centre for Science and Technology Studies.

Research Assistant

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.

Key activities

  • Creation of datasets containing harmonized and enhanced information by type and year;
  • Verification, scraping and collection of information from several sources (e.g. websites, databases, etc.).
  • Carrying exploratory data analysis (e.g. clustering analysis).
  • Optimization/improvement of matching algorithms.
  • Creation of a training data set (based on manually verified data) to be used for author disambiguation procedures.

Required technical skills

  • Good command of relational databases, preferably in SQL Server;
  • Good knowledge and/or experience of (un)supervised learning methods;
  • Good knowledge and/or experience of data preprocessing and restructuring;
  • Good programming skills, preferably in Python or R;
  • Other advanced data science skills, especially related to text mining (e.g. regular expressions, NLP, etc.) will be well valued;

Soft skills

  • Being able to work independently;
  • Being able to think critically and make suggestions;
  • Being able to work with people from different backgrounds.

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.

Employment conditions

The position will be for 1, 2 or 3 days per week. The salary range will be stipulated according to the Leiden University standard.


Please send your CV to Márcia Ferreira and Jeroen van Honk no later than February 15th , 2019.

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