EconJobMarket®

Project: “Comprehending Human Action using Social Networks – CHAIN” n. 101164784 - ERC-2024-STG, HORIZON ERC Grants

Research Project:

The research project is focused on understanding how social networks influence the behavior of different groups: scientists, politicians, and ordinary citizens. It consists of three interrelated studies. The first study looks at how social media, particularly X, affects the work of scientists. By analyzing the X activity of economists, the research will explore how their online networks influence what information they find, how they collaborate, and the overall direction of their research. It will also examine whether social media leads to trends or "fads" in science that might not be beneficial. The second study investigates the role of congressional staffers in shaping U.S. policy. Using detailed data on staffers' backgrounds and their networks, this research will explore how these often behind-the-scenes players influence the decisions and priorities of Congress members. This study aims to uncover how these staffers impact voting behavior and policy outcomes. The third study examines the political impact of social media in India, specifically focusing on the messaging platform WhatsApp. It will analyze how a change in the platform's sharing policies—designed to limit the spread of information—affects conflict, beliefs, and election results in the world's largest democracy. This research will provide important insights into the effectiveness of such policy interventions in social media.

Job Description:

Successful candidates will work closely with Prof. Schwarz to jointly develop the CHAIN project. As part of this project the candidate will work on state-of-the-art research in micro-econometrics and NLP and social sciences.

Required Skills and Qualifications:

• Ph.D. in Economics or related social science with experience in NLP, large-scale data analysis, and causal inference

• Excellent programming skills in Python. Additional languages (Stata, R) will be considered a plus.

• Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.

If you are interested, please apply at https://jobmarket.unibocconi.eu/?id=705 by 6th January 2025.

To apply, visit https://jobmarket.unibocconi.eu/?id=705. (See posting for details.)

Bocconi University invites applications for a tenure-track position at the Assistant Professor level in the Department of Economics, starting in the Fall 2025. The position is open to candidates working in all fields of Economics.

The tenure track will run for up to eight years and there is the possibility of promotion to a tenured position by the end of that period or before.

Compensation and teaching load are competitive with other top European schools.

JOB QUALIFICATION: Candidates should show considerable promise for excellent research and teaching. Applicants should be nearing the completion of their Ph.D. in Economics, Finance or related fields, or should have already completed it.

ABOUT THE UNIVERSITY: Bocconi University is a leading European university. It is located in central Milan, Italy, offering undergraduate, graduate, PhD, MBA and Executive programs in finance, economics, management, law, decision sciences and computing sciences. Bocconi is a private university and fully independent from the public university system. It is the leading school for finance, economics and management education in Italy, with strong ties to the financial and industrial community, in Italy and abroad.

APPLICATION PROCEDURE:

Applications using the online application form, must be sent electronically via the site www.unibocconi.eu/jobmarket, by 23:59 of Friday November 15th, 2024 (CET).

The following documents must be attached to the electronic application:

a. a scientific curriculum (including a list of titles and publications);

b. a job market paper, plus any other publications or working papers, up to a maximum of three, which the candidate intends to submit for this evaluation;

c. list of three highly qualified academic referees providing a reference letter. Referees will be sent an automatic e-mail via the system and asked to upload their letter directly.

For any problems with the online application system, candidates can contact faculty@unibocconi.it

Interviews will be held virtually, and selected candidates will be invited for in person flyouts.

Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of groups who are under-represented in academic posts.

To apply, visit https://jobmarket.unibocconi.eu/?id=665.. (See posting for details.)

Research Project: Hlk147419415

The introduction of free and universal education, accessible to diverse religious and cultural groups, has been a major achievement worldwide and a crucial factor for economic development. However, still today, many countries do not guarantee full access to education, religious minorities often face restricted learning opportunities, and top educational institutions are being dismantled if they dissent from governments' policies. The over-arching goal of this research project - “Education, Diversity, Innovation, and Politics (EDIPO)” ERC-2021-STG Grant Agreement ID: 101042055 - is to study these phenomena through the lenses of quantitative economic history, focusing on France from the 1789 French Revolution to the 1900s.

Job Description:

The Post-doctoral grant will last for 18 months, with the possibility of extension for a further 12 months.

The job involves the application of text analysis techniques to historical documents; the econometric analysis of text-based variables and other historical datasets. Experience with historical data and text analysis of historical data, knowledge of image-recognition and georeferencing software is therefore appreciated. Proficiency in R, Stata, Phyton, as well as knowledge of the French language is highly important.

The ideal candidate is interested in doing research in economic history, using text analysis techniques and econometrics analysis. Candidates should have experience with historical data and text analysis of historical data, as well as knowledge of image-recognition and georeferencing software. Proficiency in Stata, R, and Phyton, as well as knowledge of the French language is highly important.

Application Instructions:

Applicants must apply at https://jobmarket.unibocconi.eu/?id=699 by 8th December 2024.

Each candidate’s application must clearly indicate:

• surname and name

• date and place of birth

• fiscal code (codice fiscale) (if available)

• citizenship

• residence

• contact address

• educational qualifications (degree and PhD certificate)

The application must include the following documents, which must be attached to the application:

• professional C.V., in pdf format;

• a list of any titles and publications, in pdf format;

• any certificate, publication, or document that the candidate intends to submit for evaluation, in pdf format.

• list of three highly qualified academic referees providing a reference letter. Referees will be sent an automatic e-mail via the system and asked to upload their letter directly.

To apply, visit https://jobmarket.unibocconi.eu/?id=699. (See posting for details.)