Geospatial Artificial Intelligence Research Scientist

TN United Kingdom; Glasgow; On-site; GBP 39,000 - 45,000; Full time

Job summary

A leading university in Glasgow seeks a Geospatial Artificial Intelligence Research Scientist to contribute to innovative research in Geospatial Data Science. The role involves developing cutting-edge AI tools, supervising students, and collaborating with various partners. Candidates should hold a PhD and possess strong skills in AI and data science.

Benefits

Flexible working options

Supportive organizational culture

Qualifications

• PhD or equivalent in computer science or similar fields.
• Extensive knowledge of AI foundations and model fine-tuning.
• Deep understanding of OpenAI's APIs for geospatial tasks.

Responsibilities

• Develop innovative GeoAI solutions using geospatial data and AI tools.
• Collaborate with the Geospatial Data Science Team and industry partners.
• Present research findings at conferences and maintain research profile.

Skills

Research creativity

Excellent communication

Interpersonal skills

Project management

Problem-solving

Education

PhD or equivalent in relevant discipline

Job description

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Geospatial Artificial Intelligence Research Scientist, Glasgow

Client: University of Glasgow

Location: Glasgow, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: b81240d71528

Job Views: 3

Posted: 21.05.2025

Expiry Date: 05.07.2025

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, seminars, and workshops as opportunities arise.

Main Duties and Responsibilities

1. Develop innovative GeoAI solutions by combining geospatial data with OpenAI's and/or similar API offerings, such as GPT, Codex, 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 Geospatial Data Science Team at the University of Glasgow and industry, government, and third sector partners.
5. Maintain and enhance your research profile and that of the university by contributing to high-quality publications, increasing research impact, and gathering esteem indicators.
6. Present work at international and national conferences, seminars, colloquia, and workshops.
7. Support and contribute to FAIR principles by making data and code repositories available and reproducible, writing blogs, and drafting reports and papers.
8. Engage in personal, professional, and career development to enhance both specialist and transferable skills.
9. Undertake any other duties of similar standing as assigned by the PI.

Knowledge, Qualifications, Skills, and Experience

Knowledge/Qualifications

• PhD or equivalent in relevant discipline, with experience in computer science or similar fields.
• Extensive knowledge of AI foundations, prompt engineering, data ingestion, transformation, and model fine-tuning.
• Deep understanding of OpenAI's or similar APIs for geospatial data tasks.

Skills

• Research creativity and collaborative ability.
• Excellent communication skills.
• Interpersonal skills and team working.
• Workload, time, project, budget, and people management skills.
• Self-motivation, initiative, and independent working.
• Problem-solving skills and innovative solution design.

Experience

• Postdoctoral experience or equivalent.
• Understanding of multimodal machine learning techniques.
• Experience with machine learning frameworks and libraries.
• Proven ability to produce quality outputs timely.
• Emerging publication record.
• Ability to conduct current research in geospatial AI and multimodal learning.

Desirable

• Experience in international academic collaborations.
• Experience with funding applications.
• Support for less experienced team members.

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.

Join a welcoming, inclusive community that values ambition, excellence, integrity, and curiosity. The university ensures eligibility to live and work in the UK, and visa requirements are to be met for those requiring a Skilled Worker visa. Benefits include a supportive organizational culture and flexible working options.