荷兰莱顿大学计算(社会)科学博士后研究员

荷兰莱顿大学计算(社会)科学博士后研究员

莱顿大学（Leiden University），全球百强名校，世界级顶尖研究型大学。成立于公元1575年，是荷兰第一所国立大学。自2018年以来，莱顿大学与中国内陆的顶尖高校建立了深度合作关系，包括清华大学和北京大学。

Post-doctoral Researcher in Computational (Social) Science

Leiden University

Post-doctoral researcher in computational (social) science (1.0 FTE: 31 months)

The Institute of Security and Global Affairs and the Institute of Public Administration are looking for a post-doctoral researcher with expertise in natural language processing for a period of 31 months at 1.0 FTE. The postdoctoral researcher will contribute to two research projects. The NWO Open Competition project ‘Unravelling the Rule of Law: A Machine Learning Approach' aims to understand the meaning of the rule of law concept and track it over time. The NWO VIDI-project ‘Making Finance Sustainable? A Comparative Perspective on the Politics of Investment' interrogates the institutional and regulatory conditions for sustainable financial systems in Europe.

The role of the postdoctoral researcher is to employ natural language processing models (e.g., word embeddings and topic models) to find the meaning, patterns, and themes within a large volume of text data. The candidates should have vast experience with applied research employing natural language processing models and machine learning more broadly and, ideally, should demonstrate a solid social science background or interest in socially relevant problems.

Key responsibilities

Conduct independent and collaborative research on the concepts of rule of law and sustainable finance by using natural language processing models, in particular word embedding and topic models.

Disseminate the project's findings as co-author in high-ranking international peer-reviewed journals, conference presentations, policy reports, and other relevant formats.

Collaborate in presenting the projects to key stakeholders, academics and policymakers/practitioners working on occupational pensions.

Work within an interdisciplinary team of colleagues.

Selection criteria

A PhD in political science, public administration, economics, sociology, computer science, or any other relevant discipline.

Specific (applied) research expertise in natural language processing; background in computational social sciences (a mix of computer and social sciences skills) is considered as an asset.

Excellent programming skills in Python and/or R.

Outstanding research qualities demonstrated through an established track record of publications in peer-reviewed, international journals.

Demonstration of open science output, such as open-source code and/or data.

Experience participating in interdisciplinary/multidisciplinary research.

Demonstrated ability to work in an independent manner.

A ‘can-do' mentality and a team-player spirit.

Excellent command of English.

Applications Please submit online your application no later than 14 September 2023 via the blue button in our application system. Interviews are scheduled to take place in September 2023.

Please ensure that you upload the following additional documents in PDF format, quoting the vacancy number:

Motivation letter,

Curriculum vitae including a list of publications,

A sample publication,

The names and addresses of three potential referees. Letters of recommendation are not needed at this stage of the processes.

Enquiries from agencies are not appreciated.

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