2 Postdoc Positions in Quantitative Migration Research at the Immigration Policy Lab @ ETH Zurich

HD
Hangartner Dominik
Wed, Nov 9, 2022 10:19 AM

Dear all,

Please find below a job ad for two postdoctoral positions in quantitativ migration research for the Immigration Policy Lab at ETH Zurich. The postdocs will be part of a collaborative team committed to rigorous research along the entire integration journey of immigrants and refugees: from their initial entry to a new host country, through their time as foreign citizens to their (potential) naturalization. We study the effects of policies and design and test interventions to improve the well-being and integration of immigrants and strengthen their host communities. To do so, we combine data from registers, surveys and online behaviour with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face.

Job ad here: https://jobs.ethz.ch/job/view/JOPG_ethz_yDLnBa21S8QmmKkRSA

Many thanks for sharing this with your network! I am happy to answer any questions you might have.

Best,
Dominik

===================

The Immigration Policy Lab at ETH Zurich invites applications for 2 postdoctoral positions in quantitative immigration research (1+ 2 years fixed term). The initial appointment will be for one year beginning between August and September 2023, with an expected renewal for up to two more years contingent on satisfactory performance.

Project background
You will be part of a collaborative team committed to rigorous research along the entire integration journey of immigrants and refugees: from their initial entry to a new host country, through their time as foreign citizens to their (potential) naturalization. We study the effects of policies and design and test interventions to improve the well-being and integration of immigrants and strengthen their host communities. To do so, we combine data from registers, surveys and online behaviour with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face.

Job description
We are looking for two complementary job profiles, both dedicated to rigorous quantitative analyses using advanced statistical methods.

Profile I:
• your primary task is to design and implement randomized-controlled trials of integration interventions and analyze natural experiments using recent advances in experimental design and methods for causal inference.

Profile lI:
• your focus is on text analysis using state-of-the-art methods in natural language processing (NLP) and machine learning (ML) to analyze newspaper articles, social media, and online comments.
With either profile you will be involved in all aspects of the research, but with a particular emphasis on study design, data analysis, and preparation of manuscripts for leading peer-reviewed journals. You will conduct your projects in close collaboration with other members of the Immigration Policy Lab and have the opportunity to work with its core and affiliated faculty from the Zurich and Stanford branches. However, you will also have time to develop your own independent projects related to immigration and integration policy evaluation. In addition, you will have minor teaching responsibilities (about 10% of your time).

Your profile

Profile I:
• Doctorate in a social science program with a preference for Political Science, Economics, or Sociology (degree must be completed at the time of appointment)
• Graduate-level knowledge of advanced causal inference methods and applied statistics
• Experience in running and analyzing field experiments and/or conducting quasi-experimental studies

Profile II:
• Doctorate in a social science program with a preference for Political Science, Economics, or Sociology OR doctorate in computer or data science (NLP) with a focus on social science research questions (degree must be completed at the time of appointment)
• Graduate-level knowledge of applied NLP methods (topic models, word embedding models, transformers etc.)
• Working knowledge of causal inference methods

Both profiles:

• Ability to collaborate effectively with project team members and external stakeholders alike
• Proficiency and excellent writing skills in English
• Knowledge of immigration and integration policy are highly valued.

Please apply here: https://jobs.ethz.ch/job/view/JOPG_ethz_yDLnBa21S8QmmKkRSA


Dominik Hangartner
Professor of Public Policy
Public Policy Group https://pp.ethz.ch/ | Immigration Policy Labhttps://immigrationlab.org/
ETH Zurich

Dear all, Please find below a job ad for two postdoctoral positions in quantitativ migration research for the Immigration Policy Lab at ETH Zurich. The postdocs will be part of a collaborative team committed to rigorous research along the entire integration journey of immigrants and refugees: from their initial entry to a new host country, through their time as foreign citizens to their (potential) naturalization. We study the effects of policies and design and test interventions to improve the well-being and integration of immigrants and strengthen their host communities. To do so, we combine data from registers, surveys and online behaviour with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face. Job ad here: https://jobs.ethz.ch/job/view/JOPG_ethz_yDLnBa21S8QmmKkRSA Many thanks for sharing this with your network! I am happy to answer any questions you might have. Best, Dominik =================== The Immigration Policy Lab at ETH Zurich invites applications for 2 postdoctoral positions in quantitative immigration research (1+ 2 years fixed term). The initial appointment will be for one year beginning between August and September 2023, with an expected renewal for up to two more years contingent on satisfactory performance. Project background You will be part of a collaborative team committed to rigorous research along the entire integration journey of immigrants and refugees: from their initial entry to a new host country, through their time as foreign citizens to their (potential) naturalization. We study the effects of policies and design and test interventions to improve the well-being and integration of immigrants and strengthen their host communities. To do so, we combine data from registers, surveys and online behaviour with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face. Job description We are looking for two complementary job profiles, both dedicated to rigorous quantitative analyses using advanced statistical methods. Profile I: • your primary task is to design and implement randomized-controlled trials of integration interventions and analyze natural experiments using recent advances in experimental design and methods for causal inference. Profile lI: • your focus is on text analysis using state-of-the-art methods in natural language processing (NLP) and machine learning (ML) to analyze newspaper articles, social media, and online comments. With either profile you will be involved in all aspects of the research, but with a particular emphasis on study design, data analysis, and preparation of manuscripts for leading peer-reviewed journals. You will conduct your projects in close collaboration with other members of the Immigration Policy Lab and have the opportunity to work with its core and affiliated faculty from the Zurich and Stanford branches. However, you will also have time to develop your own independent projects related to immigration and integration policy evaluation. In addition, you will have minor teaching responsibilities (about 10% of your time). Your profile Profile I: • Doctorate in a social science program with a preference for Political Science, Economics, or Sociology (degree must be completed at the time of appointment) • Graduate-level knowledge of advanced causal inference methods and applied statistics • Experience in running and analyzing field experiments and/or conducting quasi-experimental studies Profile II: • Doctorate in a social science program with a preference for Political Science, Economics, or Sociology OR doctorate in computer or data science (NLP) with a focus on social science research questions (degree must be completed at the time of appointment) • Graduate-level knowledge of applied NLP methods (topic models, word embedding models, transformers etc.) • Working knowledge of causal inference methods Both profiles: • Ability to collaborate effectively with project team members and external stakeholders alike • Proficiency and excellent writing skills in English • Knowledge of immigration and integration policy are highly valued. Please apply here: https://jobs.ethz.ch/job/view/JOPG_ethz_yDLnBa21S8QmmKkRSA — Dominik Hangartner Professor of Public Policy Public Policy Group <https://pp.ethz.ch/> | Immigration Policy Lab<https://immigrationlab.org/> ETH Zurich