Student Assistant for Disaster Management Research Project – Data collection and analysis

TU Delft
TA Vacancy
Required language


We are seeking a highly motivated student assistant to join our research team and contribute to the data collection, processing, and analysis part of our mixed-methods research project. The project aims to develop long-term recovery strategies that prioritize urban justice and the needs of affected communities, especially the most vulnerable, in the aftermath of the major earthquakes that hit Turkey in February 2023. The study will focus on Hatay and effected regions, one of the most affected cities, and will use both qualitative and quantitative data sources to inform decision-making and planning processes in Turkey.

• Collect and process socio-spatial data from sources such as openstreet maps, facebook data for good, and COPERNICUS: Emergency Management Service data
• Assist with finding relevant data to the subject being explored
• Assist with data cleaning, management, and analysis
• Report on your progress upon agreed frequency
• Assist with workshops and research group activities, tasks include setting up the workshop environment, scheduling and taking minutes of the meeting.
• Contribute to the development of research publications and presentations

Target group:
• Currently enrolled in a Master's degree program
• Strong quantitative and qualitative research skills
• Knowledge of disaster resilience and spatial data analysis
• Excellent organizational and communication skills (both written and verbally)
• Proficiency in English (Turkish language is a plus)
• Knowledge of disaster management frameworks and policies is a plus
• Experience in data analysis software (e.g. GIS) and programming languages such as python and relevant packages

Period of time: We are looking for team members that are available for 5 to 8 hours per week on average. You will be working online. The position is temporary, starting as soon as possible. This position is restricted to total of 60 hours (minimum) or 90 hours (maximum) hours within 3 months.

Contact person: To apply, please email your CV to and include a brief summary of your relevant experience, skills, availability, and expected compensation.