Ramit Debnath
Top university
3 months ago
PhD Opening in Environmental Computational Social Sciences and Artificial Intelligence University of Cambridge in United Kingdom
Degree Level
PhD
Field of study
not provided
Funding
Available
Deadline
Expired
Country
United Kingdom
University
University of Cambridge

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About this position
The Centre for Human-Inspired Artificial Intelligence (CHIA) at the University of Cambridge is inviting applications for a PhD position in environmental computational social sciences. The group, led by Assistant Professor Ramit Debnath, focuses on the development and application of computational social science methods, leveraging advances in natural language processing, large language models, network theory, machine learning, and behavioural science. This interdisciplinary research opportunity is ideal for candidates interested in pushing the boundaries of AI and its applications to environmental and social challenges. The successful applicant will join a vibrant research centre and work closely with leading experts in the field.
Applicants should have a strong background in computational social science, computer science, artificial intelligence, or related disciplines, and experience with relevant methodologies is highly desirable. The position offers the chance to contribute to cutting-edge research at one of the world's leading universities.
Funding details are not specified in the announcement. Interested candidates should review the group website and follow the application instructions provided.
Funding details
Available
What's required
Applicants should have a strong academic background in computational social science, computer science, artificial intelligence, or related fields. Experience with natural language processing, machine learning, network theory, or behavioural science is highly desirable. Candidates should hold or expect to obtain a relevant undergraduate or master's degree with excellent grades. Demonstrated research experience and motivation to work in interdisciplinary teams are preferred.
How to apply
Visit the provided link for details and application instructions. Prepare your CV and supporting documents. Contact the group if you have questions about the position. Submit your application through the official university portal.
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