Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Job Purpose

 To make a leading contribution to the growing research in Geospatial Data Science at the College of Science and Engineering, this research associate/fellow will work with Professor Ana Basiri and the Geospatial Data Science Group, at the University of Glasgow. The successful candidate will make (a leading) contribution to the development of cutting-edge geospatial AI tools, delivery of world-leading research, develop their career and team through delivering high-impact outputs, submission of research proposals to develop their team and research, supervision of PhD and MSc students, presenting at conferences, seminars and workshops in the relevant areas as opportunities allow.Main Duties and ResponsibilitiesPerform the following activities in conjunction with the team: 1. Investigate and develop generative geospatial AI and Large Language Models for geospatial data (GeoAI).2, Develop innovative GeoAI solutions by combining geospatial data with OpenAI's and/or similar API offerings, such as GPT, Codex, etc to leverage these tools for geospatial data tasks and use these APIs to automate data processing, generate insights, and develop AI-driven geospatial applications.3. Study and develop applications using existing Large Language Models through fine-tuning, information retrieval, and integration into wider software projects.4. Study and use relevant techniques including prompt engineering, data ingest and transformation techniques.5. Collaborate with the growing team in Geospatial Data Science Team at the University of Glasgow and the collaborators across industry, Government, and third sector.6. Develop and enhance your research profile and reputation and that of The University of Glasgow and research team, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.7. Lead and contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.8. Supporting and contributing to FAIR principles, i.e. findability, accessibility, interoperability, and reusability of research in geospatial data science within the school and the college by, for example, making data and code repositories available and reproducible, writing blogs, drafting technical/progress reports and papers as appropriate.9. Engage in personal, professional and career development to enhance both specialist and transferable skills in accordance with desired career trajectory.10. Undertake any other duties of equivalent standing as assigned by the PI.Knowledge/QualificationsEssential:A1 An awarded PhD, Scottish Credit and Qualification Framework level 12, or equivalent professional qualifications in relevant academic/research discipline, and experience of personal development in one of the areas of computer science or similar disciplines.A2 Extensive knowledge of foundations of AI including prompt engineering, data ingest and transformation techniques, and fine-tuning models.A3 Deep understanding of OpenAI's and/or similar API offerings, and how to leverage these tools for geospatial data tasks. Proficiency in using these APIs to automate data processing, generate insights, and develop AI-driven geospatial applications.SkillsEssential:C1 Research creativity and cross-discipline collaborative ability as appropriate.C2 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and conciselyC3 Excellent interpersonal skills including team working and a collegiate approachC4 Appropriate workload, time, project, budget, and people management skillsC5 Self-motivation, initiative and independent thought/workingC6 Problem solving skills including a flexible and pragmatic approachExperienceEssential:E1 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher.E2 Experience in projects that involve the application of OpenAI and/or similar APIs to solve real-world (geospatial) problems and to implement and deploy GeoAI solutions effectively.E3 Demonstrated experience integrating such APIs with geospatial software and platforms (e.g., ArcGIS, QGIS, Google Earth Engine) to enhance spatial data analysis, and decision-making processes.E4 Proven ability to deliver quality outputs in a timely and efficient mannerE4 Evidence of an emerging track record of publications in a relevant fieldDesirable:F1 Experience with collaborating with or working at international academic environments of the highest national or international qualityF2 Experiences with identifying and developing funding application as appropriateF3 Support of less experienced members of the project team e.g. postgraduate and project studentsClosing date: 1 October 2024Terms and ConditionsSalary will be Grade 7, £39,347 - £44,263 per annum. This post is full time, and has funding for up to 2 years As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship. As a valued member of our team, you can expect:1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. 3 A flexible approach to working.