Geospatial Artificial Intelligence Research Scientist

University of Glasgow; Glasgow; On-site; GBP 39,000 - 45,000; Full time

Job summary

A prominent university in the UK is seeking a researcher in Geospatial Data Science to develop innovative AI solutions, supervise students, and collaborate across sectors. The ideal candidate will hold a PhD, possess extensive AI knowledge, and have project management skills. This role offers a competitive salary and supports diverse working options.

Benefits

Flexible working options

Research funding support

Qualifications

• PhD or equivalent in a relevant discipline, with experience in computer science or related fields.
• Extensive knowledge of AI foundations and prompt engineering.
• Deep understanding of APIs and their application to geospatial data.

Responsibilities

• Develop innovative GeoAI solutions combining geospatial data.
• Study and develop applications using existing Large Language Models.
• Collaborate with the Geospatial Data Science team and external partners.

Skills

AI foundations

Prompt engineering

Data ingestion and transformation

Project management

Communication skills

Education

PhD or equivalent in a relevant discipline

Tools

OpenAI APIs

Machine learning frameworks

Job description

Job Description:

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 contribute to the development of cutting-edge geospatial AI tools, deliver world-leading research, develop their career and team through high-impact outputs, submit research proposals, supervise PhD and MSc students, and present at conferences and workshops.

Main Duties and Responsibilities

1. Develop innovative GeoAI solutions by combining geospatial data with APIs such as GPT, Codex, or similar 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 software projects.
3. Apply relevant techniques including prompt engineering, data ingestion, and transformation.
4. Collaborate with the Geospatial Data Science team and external partners across industry, government, and the third sector.
5. Maintain and enhance research profile and reputation, publish in high-profile journals, and contribute to the research impact.
6. Present work at international and national conferences, seminars, colloquia, and workshops.
7. Support FAIR principles by making data and code repositories available and reproducible, and by writing blogs and technical reports.
8. Engage in personal and professional development to enhance skills.
9. Undertake any other duties as assigned by the PI.

Knowledge, Qualifications, Skills, and Experience

Essential:

• PhD or equivalent in a relevant discipline, with experience in computer science or related fields.
• Extensive knowledge of AI foundations, including prompt engineering, data ingestion, transformation, and fine-tuning models.
• Deep understanding of APIs such as OpenAI's offerings and their application to geospatial data.
• Research creativity, excellent communication and interpersonal skills, project management, self-motivation, problem-solving abilities, and capacity to design innovative solutions.
• Postdoctoral experience or equivalent, with expertise in multimodal machine learning, frameworks, and libraries, and a track record of publications.

Desirable:

• Experience with international academic collaborations, funding applications, and mentoring students.

Closing date: 1 October 2024

Terms and Conditions:

Salary: Grade 7, £39,347 - £44,263 per annum. Full-time, funding for up to 2 years. The university values diversity and inclusion, and offers flexible working options.