Research Associate/Fellow in Agent Based Modelling

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

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Research Associate/Fellow in Agent Based Modelling, Glasgow

Client: University of Glasgow

Location: Glasgow, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 97662629ca38

Job Views: 8

Posted: 26.04.2025

Expiry Date: 10.06.2025

Job Description:

Job Purpose

To make a leading contribution to the growing research in the Geospatial Data Science Group, this research associate/fellow will work with Professor Ana Basiri and the team to analyze geospatial data using various methods and models. The role involves working on new research projects to understand human behavior in urban systems, with applications ranging from navigation to social dynamics. The successful candidate will contribute to high-impact research, develop their career, mentor students, and participate in conferences and workshops.

Main Duties and Responsibilities

1. Simulate and model computationally the behavior of individuals or groups, especially minorities, in cities using frameworks based on quantitative methods, computational social science, complexity theory, or agent-based modeling.
2. Collaborate with the Geospatial Data Science team and project partners such as Ordnance Survey GB, Google, Microsoft Research, Uber, Meta, and the Alan Turing Institute to develop inclusive and responsible technologies.
3. Plan and conduct research activities aligned with project goals and institutional strategies.
4. Enhance research profile through publications, societal impact, and scholarly recognition.
5. Present research at international and national conferences, seminars, and workshops.
6. Support FAIR principles by making data and code repositories accessible and reproducible, and by writing technical reports and blogs.
7. Participate in team meetings, seminars, and workshops to foster collaboration.
8. Supervise and mentor undergraduate and postgraduate students and junior team members.
9. Engage in outreach, teaching, and administrative activities as assigned.
10. Ensure safety in laboratory and experimental settings.
11. Undertake personal and professional development activities.

For Grade 8 positions, the role involves higher independence, leadership, and responsibility, including securing funding, publishing, mentoring, and developing research strategies.

Knowledge, Qualifications, Skills and Experience

Essential:

• PhD or equivalent in relevant disciplines; experience in statistics, mathematics, computer science, or geography.
• Knowledge of quantitative data analysis, geo-statistics, agent-based simulation, or computational social sciences.
• Proficiency in programming languages such as Python or R.

Desirable:

• Knowledge of Geo-AI, spatio-temporal data, or volunteer geographic data.

Skills:

• Research creativity and cross-disciplinary collaboration.
• Excellent communication and interpersonal skills.
• Self-motivation, initiative, problem-solving skills.

Experience:

• Postdoctoral experience or equivalent; experience in scientific writing and delivering research outputs.
• For Grade 8: leadership experience, publication record, independent research, international collaboration, funding development, mentoring.

Closing date:

1 October 2024

Terms and Conditions

Salary: Grade 7/8, £39,347 - £44,263 / £48,350 - £56,021 per annum. Full-time, funding for 2 years. The university offers a welcoming, inclusive environment with flexible working options.