PhD Opening: AI + Hydrology at the University of New Brunswick
- NB
- On-site
- Posted Sep 29, 2026
- 1 position
Opens LinkedIn
- Employment type
- Internship / apprenticeship
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Internship
Job summary
Conduct research integrating hydrological modeling, artificial intelligence, and remote sensing. Apply these methods to address water security and climate resilience.
Job details
University of New Brunswick, , Canada Start reviewing process: 11 October 2026 Position Posting: PhD Position Start Reviewing Process 11 October 2026 I am recruiting a PhD student to join my research group starting in January or May 2027. My research integrates hydrological modeling, AI, and remote sensing to address water security and climate resilience. You can view my publication record and background here: https://www.gla.ac.uk/schools/ses/staff/johnshi/ ✅ What I'm Looking For Academic Standing: Minimum B average (or Upper Second Class). Degree Requirements: PhD applicants typically need a Master's degree. Key Qualities: A strong passion for coding, data, and environmental problem-solving. 💰 Funding: Competitive package covering tuition and stipend. 📍 Location: Department of Civil Engineering, University of New Brunswick 📩 How to Apply: Email me directly at John.Shi@unb.ca with a single PDF containing: Cover Letter CV Academic Transcripts Subject Line: “Prospective student inquiry – ”(replace NAME with your full name) Many thanks, John Dr John Shi Associate Professor Department of Civil Engineering University of New Brunswick Fredericton NB E3B 5A3; Canada Email: John.Shi@unb.ca Of interest for: Hydrology Focus Research Group
What you’ll do
Conduct research integrating hydrological modeling, artificial intelligence, and remote sensing. Apply these methods to address water security and climate resilience.
Requirements
Applicants need at least a B average or Upper Second Class standing, and typically need a master's degree. The posting seeks someone with a strong interest in coding, data, and environmental problem-solving.
Benefits
- Tuition Coverage
- Stipend
Listed skills
- Data analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Coding
- Data Analysis
- Hydrological Modeling
- Artificial Intelligence
- Remote Sensing
- Environmental Problem-Solving
Job areas
- Science & Research
- Environmental & Sustainability
- Engineering
- Data & Analytics
- Education