Student Assistant (Qualitative Analysis) (ASAP)

Student Assistant (Qualitative Analysis) (ASAP) 

We are looking for a motivated research assistant to support a workshop-related research  project through qualitative data analysis. The assistant will work closely with the research  team to help organize, analyze, and interpret qualitative data collected during and after the  workshop. We expect a total workload of about 80 hours. 

For an overview of the workshop, please see: https://sig-ai-act.github.io/workshop.html 

If the selected candidate is interested, there may be an opportunity to pursue a Master’s  thesis on this topic at TPM. This would be arranged separately from the student assistant  position. 

Key Responsibilities 

• Transcribe, clean, and organize workshop data (for example, notes, recordings, and  participant responses) 

• Conduct qualitative data analysis, including coding and thematic analysis • Identify key themes, insights, and patterns in the data 

• Support the preparation of clear and structured summaries of findings • Assist with writing up results and coordinating contributions among co-authors • Collaborate with the research team and contribute to discussions throughout the  project 

• Manage and organize mailing lists and communications 

Requirements 

• Currently enrolled as a student 

• Interest in the AI Act and related technical discussions 

• Experience with qualitative research methods 

• Experience with and strong understanding of thematic analysis 

• Analytical, organizational, and communication skills 

• Attention to detail and ability to work independently 

• Experience with tools such as NVivo, Atlas.ti, or similar software is an advantage 

Duration & Commitment 

• Short-term position linked to the workshop timeline 

• The estimated workload is about 80 hours in total 

• Flexible working hours, to be agreed upon 

• Start date: as soon as possible 

To apply or for any questions about the position, please contact Helma Torkamaan  <h.torkamaan@tudelft.nl> or Megha Khosla <M.khosla@tudelft.nl>.