Research Assistant in Applied Econometrics and Data Science - Hiring in process/Finished, not possible to apply

The Institute for International Economic Studies (IIES) is seeking two research assistants. As a research assistant, you will work closely with faculty members, PhD students, and other research assistants on data-intensive research projects in economics. The team studies inequality and social mobility using large-scale administrative microdata and newly digitized historical sources, applying modern econometric and machine-learning methods to address policy-relevant questions.

The positions provide exposure to all stages of the research process and offers strong preparation for PhD studies in economics or for a research-oriented career in the public or private sector.

IIES is one of the leading research institutes in economics in the Nordic countries and Europe. The institute aims to produce leading economic research on important societal issues. The Institute is an international workplace with English as the working language. We value a committed, dynamic and collaborative work environment.

More information about us, please visit: The Institute for International Economic Studies (IIES).

Main responsibilities

As a research assistant, your primary responsibilities include:

Constructing and maintaining large datasets based on administrative records and historical archival documents. Cleaning and documenting complex datasets using Stata, R, and Python. Implementing advanced econometric and machine-learning methods. Writing clear and reproducible code within well-structured project environments. Producing tables, figures, and concise empirical summaries that communicate results effectively to the research team.

Qualification requirements

Applicants must hold a university degree in economics or in a closely related quantitative field (such as statistics, data science, computer science, mathematics, or engineering). Applicants must demonstrate a strong interest in applied empirical research.

Strong programming skills in at least two of the following languages are required: Stata, R, and Python. The selected candidate is expected to develop proficiency in the remaining language if necessary.

Fluency in English, both written and spoken, is required, as English is the working language of the research team.

The following qualifications are considered merits:

• Documented training in econometrics beyond the introductory level (e.g., advanced econometrics, causal inference, or panel data methods).
• Coursework or practical experience in machine learning, including supervised learning, regularization methods, and tree-based models applied to real data.
• Experience working with large datasets, including data cleaning, merging, transformation, and documentation.
• A strong quantitative background in calculus, probability theory, statistics, and linear algebra.
• Experience with version control systems such as Git.
• Knowledge of Swedish or another Scandinavian language, particularly for work involving historical documents.

In the evaluation process, there will be much emphasis on personal qualities.

About the employment

This is a full-time position with a duration of twelve months. Starting date upon agreement. Salaries at Stockholm University are determined individually.

We offer

We offer the dynamics in the interaction between higher education and research which makes Stockholm University an exciting and creative environment. You will be working in an international environment and get advantageous conditions.  The university is located in Nationalstadsparken with good connections to the city center.  

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact 
Further information about the position can be obtained from Associate Professor Arash Nekoei, arash.nekoei@iies.su.se.

Application

Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.

Only include the cover letter and CV in your application. Bring copies of grades and certificates if you are called to an interview.

The instructions for applicants are available at: How to apply for a position.