Research Assistant in Quantitative Social Science: Machine Learning for Refugee Resettlement 20%-40%, Zurich, fixed-term The Public Policy Group at ETH Zurich invites applications for a research assistant in quantitative social science for a project using machine learning to improve refugee resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch, a recommendation tool to assist governments in identifying communities where newly arriving refugees are most likely to thrive. This tool is currently being tested in the field in Switzerland and the United States, with an imminent launch in the Netherlands. The project is a collaborative effort between ETH Zurich and Stanford University. Job description Your task will be to support the ongoing project in the Netherlands. Your role will include cleaning and processing data from our partner agencies, training and fine-tuning machine learning models to predict refugee resettlement outcomes, and conducting simulations and backtests to assess model performance and estimate the tool's real-world impact. You will have regular check-ins with the project team at Stanford but will conduct the day-to-day data work yourself. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R Demonstrated problem-solving ability Proficiency in data cleaning and management and experience working with complex datasets Reliable, structured and precise working style Strong communication skills regarding technical matters and data analysis Comfortable formulating questions and proactively seeking guidance as needed Curious and self-motivated, with a strong sense of ownership over their work Fluency in English, oral and written Familiarity with supervised machine learning (e.g. gbm, xgboost, etc.) is an advantage. Workplace We offer Hands-on experience on an empirical research project that aims to provide tangible social impact for refugees Diverse activities: Training and assessing machine learning models Managing, cleaning, and processing complex, real-world datasets Evaluating the effectiveness of algorithmic matching strategies on refugee outcomes Conducting simulated backtests to estimate the performance of the GeoMatch tool in a new policy context Highly collaborative work environment: you will be working closely together with the project team at Stanford University Professional supervision by experienced researchers, supporting you in your career development as a data scientist / applied econometrician / quantitative social scientist Salary and pension benefits according to ETH regulation The position is secured for 6 months starting September/October 2025. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application, including: a cover letter CV study transcripts Please note that only applications submitted through our online application portal are accepted. For further information about the position please contact the executive director, Philip Grech, philip.grech@gess.ethz.ch (Subject: Research Assistant Refugee Algorithm 2025). For more information on the Public Policy Group and Immigration Policy Lab, please visit our websites at Public Policy Group and Immigration Policy Lab, as well as Immigration lab GeoMatch. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. If you apply for this position please say you saw it on Socioloxy

Research Assistant in Quantitative Social Science: Machine Learning for Refugee Resettlement

20%-40%, Zurich, fixed-term

The Public Policy Group at ETH Zurich invites applications for a research assistant in quantitative social science for a project using machine learning to improve refugee resettlement.

The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch, a recommendation tool to assist governments in identifying communities where newly arriving refugees are most likely to thrive. This tool is currently being tested in the field in Switzerland and the United States, with an imminent launch in the Netherlands. The project is a collaborative effort between ETH Zurich and Stanford University.

Job description

Your task will be to support the ongoing project in the Netherlands. Your role will include cleaning and processing data from our partner agencies, training and fine-tuning machine learning models to predict refugee resettlement outcomes, and conducting simulations and backtests to assess model performance and estimate the tool's real-world impact. You will have regular check-ins with the project team at Stanford but will conduct the day-to-day data work yourself.

Profile

Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.)
Experience programming in R
Demonstrated problem-solving ability
Proficiency in data cleaning and management and experience working with complex datasets
Reliable, structured and precise working style
Strong communication skills regarding technical matters and data analysis
Comfortable formulating questions and proactively seeking guidance as needed
Curious and self-motivated, with a strong sense of ownership over their work
Fluency in English, oral and written
Familiarity with supervised machine learning (e.g. gbm, xgboost, etc.) is an advantage.

Workplace

We offer

Hands-on experience on an empirical research project that aims to provide tangible social impact for refugees

Diverse activities:

Training and assessing machine learning models
Managing, cleaning, and processing complex, real-world datasets
Evaluating the effectiveness of algorithmic matching strategies on refugee outcomes
Conducting simulated backtests to estimate the performance of the GeoMatch tool in a new policy context
Highly collaborative work environment: you will be working closely together with the project team at Stanford University
Professional supervision by experienced researchers, supporting you in your career development as a data scientist / applied econometrician / quantitative social scientist
Salary and pension benefits according to ETH regulation

The position is secured for 6 months starting September/October 2025.

chevron_right Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application, including:

a cover letter
CV
study transcripts

Please note that only applications submitted through our online application portal are accepted.

For further information about the position please contact the executive director, Philip Grech, philip.grech@gess.ethz.ch (Subject: Research Assistant Refugee Algorithm 2025). For more information on the Public Policy Group and Immigration Policy Lab, please visit our websites at Public Policy Group and Immigration Policy Lab, as well as Immigration lab GeoMatch.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

If you apply for this position please say you saw it on Socioloxy

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