Geospatial Artificial Intelligence Research Scientist

Job Purpose

To make a leading contribution to the growing research in Geospatial Data Science at the College of Science and Engineering, the researcher 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 Responsibilities Perform the following activities in conjunction with the team: 1.. Develop innovative GeoAI solutions by combining geospatial data with OpenAI's and/or similar API offerings, such as GPT, Codex (or similar) to leverage these tools for geospatial data tasks and use these APIs to automate data processing, generate insights, and develop AI-driven geospatial applications.2. Study and develop applications using existing Large Language Models through fine-tuning, information retrieval, and integration into wider software projects.3. Study and use relevant techniques including prompt engineering, data ingest and transformation techniques.4. Collaborate with the growing team in Geospatial Data Science Team at the University of Glasgow and the collaborators across industry, Government, and third sector.5. Maintain 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.6. Presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.7. 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.8. Engage in personal, professional and career development to enhance both specialist and transferable skills in accordance with desired career trajectory.9. Undertake any other duties of equivalent standing as assigned by the PI. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: 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. Skills Essential: 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 approachC7 Capability to design and implement innovative solutions to address geospatial challenges through AI and multimodal learning approaches. Experience Essential: E1 Sufficient relevant postdoctoral experience or equivalentE2 A Deep understanding of multimodal machine learning techniques, including the integration and fusion of data from various sources (e.g., images, text, sensor data).E3 Experience with machine learning frameworks and librariesE4 Proven ability to deliver quality outputs in a timely and efficient mannerE5 Evidence of an emerging track record of publications in a relevant fieldE6 Ability to conduct research and stay updated with the latest advancements in geospatial AI and multimodal learning. Desirable: 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 students Closing date: 1 October 2024 Terms and Conditions Salary 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.