Visualize TPM's Research Landscape: Seeking a student assistant for NLP analysis

Visualize TPM's Research Landscape: Seeking a student assistant for NLP analysis

We seek a motivated student assistant to help catalogue the research designs used in TPM research and education. In this project, you will apply qualitative content analysis along with natural language processing (NLP) techniques and tools—including large language models—to identify the research objectives, theories, and methods employed by our faculty.

In TPM’s  interdisciplinary environment, faculty members address various research objectives such as description, explanation, prediction, and evaluation. To achieve this, they draw on diverse theories from the several research fields and utilize multiple modes of research inquiry, including argumentation, observation, simulation, intervention, and evidence synthesis.

A comprehensive understanding of how different objectives, theories, and methods are combined to create a high-quality research designs can help strengthen the foundations of our bachelor and master courses/programs. You will contribute directly to this objective. Your responsibilities will include: applying qualitative content analysis to faculty research; utilizing NLP techniques to identify and categorize research components; visualize the co-occurrence of research objectives, theories, and methods in the dataset.

The position is ideal for someone with prior knowledge of NLP and qualitative research. Familiarity with large language models is a plus. The expected commitment is 8-16 hours per week for a total of 320 hours. You will collaborate with Nihit Goyal, Marinke Sussenbach and Haiko van der Voort during this project. This is an opportunity to develop your skills while making a meaningful impact on education at TPM.

To apply, please send your CV and a brief cover letter explaining your interest in the position to Nihit Goyal (email: nihit.goyal@tudelft.nlnihit.goyal@tudelft.nl>) by October 31st.