Postdoctoral researcher in Computational Social Science at LSE (2 posts) This full-time position is part of Dr Milena Tsvetkova's ERC-funded project "HUMANET: Human-Machine Social Systems" in the Department of Methodology at LSE. The project will employ virtual-lab and field experiments, agent-based models, and web data mining and analysis to investigate how humans interact with intelligent machines such as algorithms and bots and how these interactions affect collective outcomes such as cooperation and social contagion in networks and online communities. More information about the project is available at . The postdoc researcher will design and conduct research in close collaboration with other project team members, identify and review relevant literature, design and develop research tools and applications, collect and analyse data, and write up, publish, and present research findings. The position is for two years with potential to extend an additional year. The successful candidate will: Have successfully completed or be close to completing a PhD in computer science, information science, data science, social psychology, sociology, psychology, computational social science or a related field by the post start date Have research experience with mining and analysing web data, developing interactive web applications such as games and bots, designing and conducting online experiments, and/or working with agent-based models and simulations Have a research interest in human-computer interaction, AI, and/or bots Have a commitment to interdisciplinary collaboration
Apr 06, 2026
Full time
Postdoctoral researcher in Computational Social Science at LSE (2 posts) This full-time position is part of Dr Milena Tsvetkova's ERC-funded project "HUMANET: Human-Machine Social Systems" in the Department of Methodology at LSE. The project will employ virtual-lab and field experiments, agent-based models, and web data mining and analysis to investigate how humans interact with intelligent machines such as algorithms and bots and how these interactions affect collective outcomes such as cooperation and social contagion in networks and online communities. More information about the project is available at . The postdoc researcher will design and conduct research in close collaboration with other project team members, identify and review relevant literature, design and develop research tools and applications, collect and analyse data, and write up, publish, and present research findings. The position is for two years with potential to extend an additional year. The successful candidate will: Have successfully completed or be close to completing a PhD in computer science, information science, data science, social psychology, sociology, psychology, computational social science or a related field by the post start date Have research experience with mining and analysing web data, developing interactive web applications such as games and bots, designing and conducting online experiments, and/or working with agent-based models and simulations Have a research interest in human-computer interaction, AI, and/or bots Have a commitment to interdisciplinary collaboration
Network Science Society, Inc.
Cambridge, Cambridgeshire
A prominent educational institution in the United Kingdom is inviting applications for PhD positions in network science. The successful candidates will join the Probabilistic Systems, Information, and Inference group at the University of Cambridge to conduct research on random graphs and stochastic processes. Candidates should possess an undergraduate or master's degree in a quantitative subject. Informal enquiries can be directed to Dr. George Cantwell at . Apply now to secure a competitive fellowship.
Apr 06, 2026
Full time
A prominent educational institution in the United Kingdom is inviting applications for PhD positions in network science. The successful candidates will join the Probabilistic Systems, Information, and Inference group at the University of Cambridge to conduct research on random graphs and stochastic processes. Candidates should possess an undergraduate or master's degree in a quantitative subject. Informal enquiries can be directed to Dr. George Cantwell at . Apply now to secure a competitive fellowship.
Network Science Society, Inc.
Cambridge, Cambridgeshire
PhD positions in network science at University of Cambridge The Probabilistic Systems, Information, and Inference group at the University of Cambridge is seeking PhD students. Fellowships will be awarded on a competitive basis. Among other things, the group studies random graphs, stochastic processes, and inference problems on complex networks. The thesis topic will be agreed to fit with student interest. Applicants should have an undergraduate or masters degree in a quantitative subject. Informal enquiries can be addressed to Dr George Cantwell, Applications must be submitted at:
Apr 06, 2026
Full time
PhD positions in network science at University of Cambridge The Probabilistic Systems, Information, and Inference group at the University of Cambridge is seeking PhD students. Fellowships will be awarded on a competitive basis. Among other things, the group studies random graphs, stochastic processes, and inference problems on complex networks. The thesis topic will be agreed to fit with student interest. Applicants should have an undergraduate or masters degree in a quantitative subject. Informal enquiries can be addressed to Dr George Cantwell, Applications must be submitted at: