Research Associate/Fellow in Geospatial Data Science

2 weeks ago


Glasgow, Glasgow City, United Kingdom University of Glasgow Full time
Job Purpose

To make a significant contribution to the University of Glasgow's research in Geospatial Data Science, this research associate/fellow will work with Professor Ana Basiri and the team to analyze and interpret geospatial data using various methods and models.

This role will have the opportunity to work on several research projects to understand human behavior in complex urban systems, with applications in areas such as navigation, urban planning, and social equity.

The successful candidate will contribute to the formulation and delivery of world-class research, develop their career and team through delivering high-impact outputs, submitting research proposals, supervising students, and presenting at conferences and workshops.

Main Duties and Responsibilities
  1. Develop and apply computational models to simulate and analyze the behavior of individuals and groups in urban environments, with a focus on minority groups.
  2. Collaborate with the Geospatial Data Science team and project partners to co-design and develop inclusive and responsible technologies.
  3. Conduct research individually and/or jointly to meet project deliverables and contribute to the team's research strategy.
  4. Develop and enhance your research profile and reputation, including publishing in high-quality journals and presenting at conferences.
  5. Contribute to the presentation of work at international and national conferences, seminars, and workshops.
  6. Support the implementation of FAIR principles in geospatial data science, including making data and code repositories available and reproducible.
  7. Collaborate with colleagues and participate in team meetings, seminars, and workshops.
  8. Lead and contribute to the organization, supervision, and mentoring of undergraduate and postgraduate students.
  9. Lead and contribute to outreach activities, teaching, and supervision.
  10. Be responsible for safety management related to laboratory and experimental techniques, equipment, and processes.
  11. Engage in personal, professional, and career development to enhance specialist and transferable skills.
Knowledge, Qualifications, Skills, and Experience

Essential:

  1. A PhD in a relevant academic or research discipline, with experience in personal development in areas such as statistics, mathematics, computer science, quantitative geography, or similar disciplines.
  2. Extensive knowledge of at least two of the following: quantitative data analysis, geo-statistics, agent-based simulation, computational social sciences, evolutionary psychology.
  3. Extensive experience in at least one programming language (e.g., Python, R).

Desirable:

  1. Good knowledge and experience of Geo-AI or spatio-temporal data.
Skills

Essential:

  1. Research creativity and cross-discipline collaborative ability.
  2. Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely.
  3. Excellent interpersonal skills, including team working and a collegiate approach.
  4. Self-motivation, initiative, and independent thought/working.
  5. Problem-solving skills, including a flexible and pragmatic approach.

For appointment at Grade 8:

  1. Good team leadership skills.
Experience

Essential:

  1. Sufficient postdoctoral experience or equivalent in a related field.
  2. Experience of scientific writing.
  3. Proven ability to deliver quality outputs in a timely and efficient manner.

For appointment at Grade 8:

  1. A track record of presentation and publication of research results in quality journals/conferences.
  2. Experience of making a leading contribution in academic activities.
  3. Ability to demonstrate a degree of independence, as illustrated by identification of project objectives from assessment of the literature, design & analysis of experiments & drafting of papers.

Desirable:

  1. Experience with collaborating with or working at international academic environments of the highest national or international quality.
  2. Experience with identifying and developing funding applications.
  3. Support of less experienced members of the project team.


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