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For Companies At a Glance
- Tasks: Develop innovative GeoAI solutions and collaborate with a dynamic research team.
- Company: Join the University of Glasgow, a leader in Geospatial Data Science.
- Benefits: Enjoy a competitive salary, professional development opportunities, and a supportive work environment.
- Why this job: Make an impact in AI research while working with cutting-edge technology and diverse partners.
- Qualifications: PhD in a relevant field and strong knowledge of AI and geospatial data.
- Other info: Full-time position with funding for 2 years; inclusive community values ambition and curiosity.
The predicted salary is between 39347 - 44263 £ per year.
Job Purpose
To contribute to the growing research in Geospatial Data Science at the College of Science and Engineering, working with Professor Ana Basiri and the Geospatial Data Science Group at the University of Glasgow. The successful candidate will develop cutting-edge geospatial AI tools, deliver high-impact research, and contribute to team development through research outputs, proposals, supervision, and presentations.
Main Duties and Responsibilities
- Develop innovative GeoAI solutions combining geospatial data with APIs like GPT, Codex, etc., for data tasks and AI-driven applications.
- Study and develop applications using Large Language Models through fine-tuning and integration.
- Apply techniques such as prompt engineering, data ingestion, and transformation.
- Collaborate with the Geospatial Data Science team and external partners across industry, government, and third sectors.
- Enhance research profile through publications, societal impact, and research indicators.
- Present work at conferences, seminars, and workshops.
- Support FAIR principles by making data and code repositories accessible and reproducible.
- Pursue personal and professional development.
- Perform additional duties as assigned.
Knowledge, Qualifications, Skills and Experience
Essential:
- PhD or equivalent in relevant discipline.
- Strong knowledge of AI foundations, prompt engineering, data transformation, and model fine-tuning.
- Deep understanding of APIs like OpenAI's offerings for geospatial data tasks.
Skills:
- Research creativity and collaboration.
- Excellent communication and interpersonal skills.
- Project and time management skills.
- Self-motivation and problem-solving abilities.
- Innovative solution design for geospatial challenges using AI.
Experience:
- Postdoctoral or equivalent experience.
- Knowledge of multimodal machine learning techniques.
- Experience with machine learning frameworks and libraries.
- Proven track record of research outputs.
- Ability to stay updated with advancements in geospatial AI.
Desirable:
- Experience with international academic collaborations.
- Experience in funding applications.
- Mentoring less experienced team members.
Closing date: 1 October 2024
Terms and Conditions: Salary Grade 7, £39,347 - £44,263, full-time, funding for 2 years. The university promotes an inclusive community valuing ambition, excellence, integrity, and curiosity. Eligibility to work in the UK and visa requirements apply.
Geospatial Artificial Intelligence Research Scientist employer: University of Glasgow
Contact Detail:
University of Glasgow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Artificial Intelligence Research Scientist
✨Tip Number 1
Network with professionals in the geospatial AI field. Attend conferences, seminars, or workshops related to geospatial data science and AI. Engaging with experts can provide insights into the latest trends and may lead to valuable connections that could help you land the job.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as APIs from OpenAI. Demonstrating your hands-on experience with these tools during interviews can set you apart from other candidates.
✨Tip Number 3
Showcase your research creativity by preparing a portfolio of your previous work. Highlight projects that involved innovative solutions in geospatial AI, especially those that align with the responsibilities outlined in the job description.
✨Tip Number 4
Stay updated on the latest advancements in geospatial AI and machine learning. Subscribe to relevant journals or online platforms to keep your knowledge fresh, which will not only help in interviews but also demonstrate your commitment to the field.
We think you need these skills to ace Geospatial Artificial Intelligence Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in geospatial data science and AI. Emphasise your PhD or equivalent qualifications, and any postdoctoral experience that aligns with the job description.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the role of Geospatial Artificial Intelligence Research Scientist. Discuss your research creativity, collaboration skills, and how your background fits with the University of Glasgow's goals.
Showcase Your Research Outputs: Include a section in your application that lists your key research outputs, publications, and any presentations at conferences. This will demonstrate your ability to enhance the research profile as mentioned in the job description.
Highlight Relevant Skills: Clearly outline your skills in AI foundations, prompt engineering, and data transformation. Mention any experience with APIs like OpenAI's offerings, as well as your project management and problem-solving abilities.
How to prepare for a job interview at University of Glasgow
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to geospatial AI and data science. Highlight any innovative solutions you've developed and how they contributed to the field.
✨Demonstrate Technical Proficiency
Familiarise yourself with the latest AI tools and techniques relevant to the role, such as prompt engineering and model fine-tuning. Be ready to explain how you have applied these skills in past projects.
✨Emphasise Collaboration Skills
Since the role involves working with a team and external partners, be sure to share examples of successful collaborations. Discuss how you’ve contributed to team dynamics and project outcomes.
✨Prepare for Questions on Future Trends
Stay updated on advancements in geospatial AI and be ready to discuss how you see the field evolving. This shows your passion for the subject and your commitment to ongoing professional development.
