Research Software Engineer: Geospatial AI Specialist
6 days ago
To make a significant contribution to the advancement of Geospatial Data Science at the University of Glasgow, this research associate/fellow will work with Professor Ana Basiri and the Geospatial Data Science Group. The successful candidate will make a substantial contribution to the development of cutting-edge geospatial AI tools, delivery of world-leading research, and career development through delivering high-impact outputs, submission of research proposals, supervision of PhD and MSc students, and presenting at conferences, seminars, and workshops.
Main Duties and Responsibilities- Investigate and develop generative geospatial AI and Large Language Models for geospatial data (GeoAI).
- Develop innovative GeoAI solutions by combining geospatial data with OpenAI's and/or similar API offerings to leverage these tools for geospatial data tasks and use these APIs to automate data processing, generate insights, and develop AI-driven geospatial applications.
- Study and develop applications using existing Large Language Models through fine-tuning, information retrieval, and integration into wider software projects.
- Study and use relevant techniques including prompt engineering, data ingest and transformation techniques.
- Collaborate with the Geospatial Data Science Team at the University of Glasgow and collaborators across industry, Government, and third sector.
- 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 refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.
- 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.
- Support and contribute to FAIR principles, i.e., findability, accessibility, interoperability, and reusability of research in geospatial data science within the school and the college by making data and code repositories available and reproducible, writing blogs, drafting technical/progress reports, and papers as appropriate.
- Engage in personal, professional, and career development to enhance both specialist and transferable skills in accordance with desired career trajectory.
- Undertake any other duties of equivalent standing as assigned by the PI.
- An awarded PhD, Scottish Credit and Qualification Framework level 12, or equivalent professional qualifications in a relevant academic/research discipline, and experience of personal development in one of the areas of computer science or similar disciplines.
- Extensive knowledge of foundations of AI including prompt engineering, data ingest and transformation techniques, and fine-tuning models.
- 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.
- Research creativity and cross-discipline collaborative ability as appropriate.
- Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely.
- Excellent interpersonal skills including team working and a collegiate approach.
- Appropriate workload, time, project, budget, and people management skills.
- Self-motivation, initiative, and independent thought/working.
- Problem-solving skills including a flexible and pragmatic approach.
- Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher.
- 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.
- 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.
- Proven ability to deliver quality outputs in a timely and efficient manner.
- Evidence of an emerging track record of publications in a relevant field.
- Experience with collaborating with or working at international academic environments of the highest national or international quality.
- Experiences with identifying and developing funding applications as appropriate.
- Support of less experienced members of the project team, e.g., postgraduate and project students.
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Glasgow, Glasgow City, United Kingdom University of Glasgow Full timeJob PurposeTo make a significant contribution to the advancement of Geospatial Data Science at the University of Glasgow, this research associate/fellow will work with Professor Ana Basiri and the Geospatial Data Science Group. The successful candidate will make a substantial contribution to the development of cutting-edge geospatial AI tools, delivery of...
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Glasgow, Glasgow City, United Kingdom University of Glasgow Full timeJob PurposeTo make a significant contribution to the advancement of Geospatial Data Science at the University of Glasgow, this research associate/fellow will work with Professor Ana Basiri and the Geospatial Data Science Group. The successful candidate will make a substantial contribution to the development of cutting-edge geospatial AI tools, delivery of...
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Glasgow, Glasgow City, United Kingdom University of Glasgow Full timeJob PurposeTo make a significant contribution to the advancement of Geospatial Data Science at the University of Glasgow, this research associate/fellow will work with Professor Ana Basiri and the Geospatial Data Science Group.The successful candidate will make a substantial contribution to the development of cutting-edge geospatial AI tools, delivery of...
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