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- Tasks: Explore how web archives reflect city dynamics through data mining.
- Company: Join the Regional Science Association International, a global community of scholars since 1954.
- Benefits: Enjoy a fully funded PhD opportunity with access to innovative research resources.
- Why this job: Make a real impact by understanding urban changes through historical web content.
- Qualifications: Ideal candidates have a background in social sciences or computer science with strong computational skills.
- Other info: Experience in Natural Language Processing and Machine Learning is preferred.
The predicted salary is between 36000 - 60000 £ per year.
- Fully funded PhD Opportunity on \’Web archives and cities: mining the web to learn our cities\’
Fully funded PhD Opportunity on \’Web archives and cities: mining the web to learn our cities\’
The project will explore how the dynamics of cities are reflected in and, therefore, can be sensed by mining online content. It will utilise an innovative data source of billions of archived web pages under the .uk domain during the period 1996-2013. It will exploit the unstructured textual data contained in these webpages in order to understand the changes that cities in the UK have undergone.
We are looking for a student with:
– Relevant social science background in either geography/planning/urban studies or linguistics. Alternatively, a computer science background and willingness to engage with the above disciplines.
– Strong computational background including experience in R or Python.
– Good statistical knowledge.
– Preferably, experience in Natural Language Processing and Machine Learning.
The Regional Science Association International (RSAI), founded in 1954, is an international community of scholars interested in the regional impacts of national or global processes of economic and social change.
Get In Touch
Regional Science Association International
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Fully funded PhD Opportunity on \'Web archives and cities: mining the web to learn our cities\' employer: University of Groningen
Contact Detail:
University of Groningen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fully funded PhD Opportunity on \'Web archives and cities: mining the web to learn our cities\'
✨Tip Number 1
Network with professionals in the fields of geography, urban studies, and computer science. Attend relevant conferences or webinars where you can meet potential supervisors or collaborators who might be involved in similar research.
✨Tip Number 2
Engage with online communities and forums related to web archiving, data mining, and urban studies. This will not only enhance your knowledge but also help you connect with others who share your interests and may provide insights into the application process.
✨Tip Number 3
Familiarise yourself with the specific datasets and tools mentioned in the job description, such as R, Python, and Natural Language Processing techniques. Consider working on small projects or contributing to open-source initiatives to showcase your skills.
✨Tip Number 4
Prepare for potential interviews by brushing up on your understanding of the dynamics of cities and how they can be analysed through web archives. Be ready to discuss your ideas on how to approach the research project and demonstrate your passion for the subject.
We think you need these skills to ace Fully funded PhD Opportunity on \'Web archives and cities: mining the web to learn our cities\'
Some tips for your application 🫡
Understand the Project: Familiarise yourself with the project details. Read about how web archives can reflect urban dynamics and consider how your background aligns with this research focus.
Tailor Your CV: Highlight relevant experience in social sciences, computer science, or both. Emphasise any skills in R, Python, Natural Language Processing, and Machine Learning to showcase your suitability for the role.
Craft a Compelling Statement of Purpose: Write a strong statement that outlines your motivation for applying, your relevant academic background, and how you plan to contribute to the research on web archives and cities.
Proofread and Edit: Before submitting your application, carefully proofread all documents. Ensure there are no grammatical errors and that your ideas are clearly articulated. A polished application reflects your attention to detail.
How to prepare for a job interview at University of Groningen
✨Showcase Your Interdisciplinary Skills
Given the diverse background required for this PhD opportunity, it's crucial to highlight your interdisciplinary skills. Be prepared to discuss how your experience in social sciences or computer science can contribute to understanding urban dynamics through web archives.
✨Demonstrate Technical Proficiency
Make sure to showcase your computational skills, especially in R or Python. Bring examples of past projects where you've applied these languages, particularly in data analysis or Natural Language Processing, to demonstrate your capability.
✨Prepare for Statistical Questions
Since good statistical knowledge is a requirement, brush up on key statistical concepts and be ready to answer questions related to data interpretation and analysis. You might even want to prepare a few examples of how you've used statistics in previous work.
✨Engage with the Research Community
Familiarise yourself with the work of the Regional Science Association International and current trends in urban studies. Showing that you are engaged with the research community can set you apart and demonstrate your genuine interest in the field.
