1-year Postdoc Position in Computational Social

2 settimane fa

Milano, Italia Bocconi University A tempo pieno

Overview

We are looking for postdocs to work with us on MENTALISM
Over the last decade, discontent in democracy, mistrust in institutions, and the rise of populist parties have strained European societies. Underlying these tensions are often increasing inequalities in Western countries, which fuel the discontent of individuals. The Covid pandemic further exacerbated these problems, as anti-Covid measures taken by governments differently impacted societal groups. The MENTALISM project combines modern social media analysis with traditional survey data to track inequality across Italy through the lens of the pandemic. Our ground-breaking mixed-methods approach uses machine learning and text analysis to trace online grievances in a vast corpus of social media data. We combine these methods with survey protocols and econometric analysis to validate the findings and provide actionable policy advice. MENTALISM combines the advantages of social media data (high-frequency, individual-level information) with the strength of socio-economic surveys (representativeness). Our novel interdisciplinary approach will critically evaluate the value of social media monitoring for policy feedback. Moreover, it will establish protocols for policymakers to better respond to growing grievances brought on by inequality at various steps in the process.

Company:
Bocconi University

Qualifications:
a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
Strong interest in computational social science
Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.

Educational level:
Ph. D.

How to apply:
Please mention NLP People as a source when applying

Tagged as: Academia, Computational Linguistics, Italy, Machine Learning, NLP, OCR, Ph. D.

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