Research Associate/Fellow in Urban Analytics

TN United Kingdom; Glasgow; On-site; GBP 39,000 - 57,000; Full time

Job summary

An established industry player is seeking a Research Associate/Fellow in Urban Analytics to contribute to high-impact research in geospatial data. This role involves analyzing urban data, developing mathematical frameworks, and collaborating with leading organizations to create inclusive technologies. The successful candidate will have the opportunity to supervise students, participate in conferences, and enhance their research profile. If you're passionate about urban analytics and eager to make a societal impact, this position offers a unique opportunity to advance your career in a dynamic research environment.

Qualifications

• PhD or equivalent in statistics, mathematics, computer science, or geography.
• Postdoctoral experience or equivalent with a publication record.

Responsibilities

• Quantify implications of city designs focusing on under-represented groups.
• Collaborate with partners to co-design inclusive technologies.
• Present findings at conferences and enhance research profile.

Skills

Data Analysis

Urban Analytics

Programming (Python or R)

Research Creativity

Communication Skills

Problem Solving

Education

PhD in relevant disciplines

Tools

Agent-based modeling

Geo-AI

Spatio-temporal data

Job description

Research Associate/Fellow in Urban Analytics, Glasgow

Client:

University of Glasgow

Location:

Glasgow, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

766a1ac8af8d

Job Views:

3

Posted:

02.05.2025

Expiry Date:

16.06.2025

Job Description:

Job Purpose

To contribute to research in the Geospatial Data Science Group, working with Professor Ana Basiri and the team to analyze geospatial data using various methods and models. The role involves working on projects like “Missing Data as Useful Data” and exploring issues faced by under-represented groups in (15-minute) cities. The successful candidate will contribute to high-impact research, develop their career, supervise students, and participate in conferences and workshops.

Main Duties and Responsibilities

1. Quantify implications of city designs based on place-based approaches, focusing on under-represented groups such as the elderly and mobility-impaired.
2. Develop mathematical frameworks and visualizations to illustrate city living for the 'average' resident.
3. Collaborate with the team and project partners like Ordnance Survey GB, Google, Microsoft Research, Uber, Meta, and the Alan Turing Institute to co-design inclusive technologies.
4. Plan and conduct research aligned with project goals and strategies.
5. Enhance research profile through publications, societal impact, and reputation building.
6. Present findings at conferences, seminars, and workshops.
7. Support FAIR principles by ensuring data and code are accessible and reproducible.
8. Participate in team meetings and community activities.
9. Supervise and mentor students and junior team members.
10. Engage in outreach, teaching, and administrative activities.
11. Ensure safety in laboratory and experimental settings.
12. Engage in professional development.

For Grade 8, responsibilities include higher independence, leadership, and establishing an independent research track.

Knowledge, Qualifications, Skills and Experience

Essential:

• PhD or equivalent in relevant disciplines (statistics, mathematics, computer science, geography).
• Knowledge of data analysis, statistics, urban analytics, and simulation.
• Proficiency in programming languages like Python or R.

Desirable:

• Experience with agent-based modeling, Geo-AI, or spatio-temporal data.

Skills:

• Research creativity and collaboration skills.
• Excellent communication and interpersonal skills.
• Self-motivated, proactive, and problem-solving abilities.

Experience:

• Postdoctoral experience or equivalent.
• Scientific writing and publication record.

Closing date: 1 October 2024

Terms: Salary Grade 7/8, £39,347 - £44,263 / £48,350 - £56,021, full-time, funding for 2 years.