Graduate Student Recruitment at GIG-Cities Lab

Current Recruitment Focus:
We are currently recruiting highly motivated Master's and Ph.D. students to contribute to research in the following areas:

• Geospatial AI and machine learning for urban sustainability
• Big spatiotemporal data mining for urban systems
• Spatial databases and advanced GIS applications
• Computer vision for creating safe an equitable urban environments
• Urban environmental modeling and digital twins

Preferred Background:
Ideal candidates should have a strong academic foundation in sustainable systems design, computer science, geospatial data sciences, mathematics, statistics, or related fields. Applicants should also possess:

• Strong mathematical and programming skills (e.g., Python, R, or similar)
• Proficiency in English writing and communication
• A four-year (Hons.) degree with a CGPA reflecting a first-class or second-class upper-division
• Experience in publishing in peer-reviewed journals is preferable 

Candidate Attributes:
In addition to academic qualifications, I am looking for students who are:

• Motivated to address pressing urban sustainability challenges
• Diligent, creative, and open-minded
• Eager to contribute to a collaborative, interdisciplinary research environment

How to Apply:
If you meet the qualifications and are passionate about using intelligent computing to create a sustainable future, please email the following documents to me:

1. Your resume or CV
2. Transcripts (unofficial copies are acceptable at the initial stage)
3. TOEFL/IELTS scores (if English is not your first language)

If your background aligns with the lab’s current needs, I will contact you to schedule an interview. Please note that due to the volume of inquiries, I may not respond to applications that do not meet the outlined requirements.

We look forward to hearing from you and exploring the possibility of your contribution to the GIG-Cities Lab!