You will:

• Design, implement and maintain the Media & Web Diets Observatory (MWDO) following FAIR principles and ensuring full compatibility with the existing collections of media within the Dutch national infrastructure
• Identify relevant platforms and sources for Media & Web Diets individual behavior (including media exposure data)
• Develop and deploy all relevant data donation scripts for these sources
• Coordinate the development and implementation of the questionnaires (self-reports) for the MWDO, extending the existing data within the LISS panel[da1] 
• Work with stakeholders across the SSH field in the Netherlands to ensure that the data is useful and relevant for a broad range of research projects
• Initiate and support pilot studies using the MWDO, ensuring a broad range of SSH disciplines can run test cases and/or pilots within this infrastructure
• Conduct your own research, together with members of the broader SSH research community, on how web & media diets influence (and are influenced by) individual characteristic, attitudes and behavior.

• You are independent, responsible, and motivated, with the ability to work flexibly as part of a team.
• You hold a PhD in communication science, computation social science (or related discipline) - or are expected to obtain it soon.
• Strong skills and experience with the design, maintenance and implementation of longitudinal data collection combining self-reports (surveys) and digital trace data (data donation)
• A strong interest in methodological work, and demonstrated experience in quantitative methods, including natural language processing, automated content analysis and handling panel data
• Web development skills, including familiarity with HTML, CSS, JavaScript, and/or TypeScript, as well as experience with frameworks such as React or Vue.js are a plus.
• DevOps skills, including deploying applications, using automation tools, and working with command-line tools, and experience with Git
• Advanced analytical/statistical skills using R and Python, with a special focus on longitudinal data analysis, automated multimodal content analysis and data linkage
• Experience coordinating and/or interfacing with technical teams, external partners, developers and researchers in an academic or research context.
• You are well organized, adaptable and willing to apply yourself to a wide range of new skills.
• You have knowledge of and experience in the academic field and/or research infrastructures in the social sciences.
• You are well organized and have attention to detail. You can communicate well and have professional oral and written command of English (C1-level CEFR or equivalent).
• Dutch proficiency is not required but is a plus.

The planned starting date for this project is 1 June 2026 (to be negotiated). The position concerns temporary employment of 30,4 hours for an initial term of 2 years including a probation period of two months. Depending on the specific needs from the Department of Communication Science, the contract may in some instances be extended to include teaching at the Graduate School of Communication or the College of Communication. This is determined after the interview

process.

Your salary will range from €4.412 to €5.705 based on your experience, fulltime employment and in line with the Collective Labour Agreement of Dutch Universities. We additionally offer an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The job profile “Researcher 4” or “Researcher 3” applies. In case of equal suitability, the internal candidate is preferred over the external candidate.

You will have the opportunity to attend training courses and both national and international events and become part of the ODISSEI network.