Fully Funded PhD: Web Archives Revealing UK Cities

University of Groningen; Remote; GBP 10,000 - 40,000; Full time

Job summary

An exciting opportunity awaits for a PhD candidate to delve into the intersection of urban studies and technology. This fully funded position will focus on mining web archives to uncover insights about the evolution of cities in the UK from 1996 to 2013. Ideal candidates will possess a strong background in social sciences or computer science, coupled with robust computational skills in R or Python. This innovative research project promises to contribute significantly to our understanding of urban dynamics, providing a unique platform for academic growth and exploration. Join a forward-thinking academic environment where your research can make a meaningful impact!

Qualifications

• Relevant background in social sciences or computer science with an interest in urban studies.
• Strong computational skills in R or Python are essential.

Responsibilities

• Explore city dynamics through mining online content from archived web pages.
• Utilize unstructured data to understand urban changes in the UK.

Skills

R

Python

Natural Language Processing

Machine Learning

Statistical Knowledge

Education

Social Science Background

Computer Science Background

Job description

An exciting opportunity awaits for a PhD candidate to delve into the intersection of urban studies and technology. This fully funded position will focus on mining web archives to uncover insights about the evolution of cities in the UK from 1996 to 2013. Ideal candidates will possess a strong background in social sciences or computer science, coupled with robust computational skills in R or Python. This innovative research project promises to contribute significantly to our understanding of urban dynamics, providing a unique platform for academic growth and exploration. Join a forward-thinking academic environment where your research can make a meaningful impact!