Research Associate/Fellow in Agent Based Modelling

University of Glasgow; Glasgow; On-site; GBP 39,000 - 57,000; Full time

Job summary

L'Université de Glasgow recrute un(e) Research Associate/Fellow en Modélisation par Agents pour rejoindre le Groupe de Science des Données Géospatiales. Ce poste impliquera des recherches sur le comportement humain dans les systèmes urbains, le développement de propositions de recherche et la supervision d'étudiants. Les candidats doivent avoir un doctorat et une expérience en analyse de données quantitatives.

Qualifications

• PhD ou équivalent requis.
• Expérience en analyse de données quantitatives et simulation agent-based.
• Compétences en programmation avec Python ou R.

Responsibilities

• Modéliser le comportement des individus en utilisant des méthodes quantitatives.
• Collaborer avec des partenaires de projet pour développer des technologies responsables.
• Superviser des étudiants et participer à des activités de sensibilisation.

Skills

Collaboration

Communication

Self-motivation

Problem-solving

Education

PhD ou équivalent dans une discipline pertinente

Tools

Python

R

Job description

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

Expiry Date: 06.08.2025

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 research projects related to human behavior in urban systems, with applications such as navigation and minority group experiences. The candidate will contribute to high-impact research, publish in reputable journals, and participate in conferences and workshops. Responsibilities include supervising students, developing research proposals, and supporting outreach activities.

Main Duties and Responsibilities

1. Simulate and model the behavior of individuals or groups in cities, especially minorities, 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 like Ordnance Survey GB, Google, Microsoft Research, Uber, Meta, and the Alan Turing Institute to develop inclusive and responsible technologies.
3. Plan and conduct research aligned with project goals and university strategies.
4. Enhance research profile through publications, societal impact, and reputation building.
5. Present work at conferences, seminars, and workshops.
6. Support FAIR principles by making data and code repositories accessible and reproducible.
7. Participate in team meetings and wider community activities.
8. Supervise and mentor undergraduate and postgraduate students.
9. Engage in outreach, teaching, and administrative activities.
10. Ensure safety and proper management of laboratory and experimental techniques.
11. Engage in professional development to enhance skills.

For Grade 8, the role involves greater independence, leadership, and responsibility, including funding, collaboration, publishing, and mentoring.

Knowledge, Qualifications, Skills, and Experience

Essential:

• PhD or equivalent in relevant discipline; experience in statistics, mathematics, computer science, or related fields.
• Knowledge of quantitative data analysis, geo-statistics, agent-based simulation, or computational social sciences.
• Experience in programming languages like Python or R.

Desirable:

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

Skills:

• Research creativity and collaboration skills.
• Excellent communication and interpersonal skills.
• Self-motivation, initiative, problem-solving, and pragmatic approach.
• For Grade 8: Leadership skills.

Experience:

• Postdoctoral experience or equivalent.
• Scientific writing and timely delivery of research outputs.
• For Grade 8: Publication record, independent research, and international collaboration experience.

Closing date: 1 October 2024

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