The EcoClimate AI Lab at the Department of Earth and Atmospheric Sciences, University of Houston, is inviting applications for a fully funded Ph.D. fellowship beginning in Spring 2027. This fellowship program is tailored for students who are passionate about applying artificial intelligence (AI) and machine learning (ML) to address urgent challenges in environmental and Earth system sciences. With a strong emphasis on interdisciplinary collaboration, this opportunity provides students with access to world-class resources, mentorship, and research networks that will prepare them to become leaders in climate and ecosystem science.

About the EcoClimate AI Lab

The EcoClimate AI Lab is a pioneering research group dedicated to advancing our understanding of how terrestrial and coastal ecosystems respond to climate dynamics and disturbances. These disturbances include:

Wildfires – analyzing how fire events disrupt carbon cycles, vegetation recovery, and long-term ecosystem resilience.
Flooding – studying hydrological impacts on soil, vegetation, and coastal systems, with a focus on resilience and adaptation.
Drought – investigating water scarcity effects on land-atmosphere interactions and ecosystem productivity.
Land-use and land-cover change – examining human-driven transformations and their ecological consequences.

By integrating carbon, water, energy, and nutrient cycles, the lab develops predictive models that enhance our understanding of ecosystem-climate-human interactions. The ultimate goal is to advance nature-based solutions and mitigate natural hazards and climate risks.

Collaborative Network

Students in the EcoClimate AI Lab will benefit from collaborations with leading institutions, including:

Lawrence Berkeley National Laboratory
Stanford University
University of Texas at Austin

This collaborative environment ensures exposure to diverse perspectives, advanced methodologies, and opportunities for joint projects that broaden academic and professional horizons.

The collaborative network is not limited to these institutions. Students may also engage with government agencies, NGOs, and international research consortia. This exposure ensures that graduates are prepared to work in diverse environments, from academia to policy-making. The lab’s partnerships often lead to joint publications, shared datasets, and opportunities to attend specialized workshops or conferences.

Position Details

Ph.D. Student (Spring 2027) This fully funded position covers tuition and living expenses, enabling students to dedicate themselves fully to research without financial burden.

Preferred Qualifications

Applicants should demonstrate:

1. Technical Skills

- Proficiency in Python programming and ML/AI methods.
- Experience applying ML/AI to remote sensing, geospatial, or environmental data is highly desirable.

Python is the backbone of modern scientific computing. Applicants should be comfortable with libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas. Knowledge of geospatial libraries like GDAL or rasterio is an added advantage.

2. Research Interests

- AI applications in environmental sciences.
- Remote sensing and Earth system modeling.
- Land-atmosphere interactions.
- Extreme events modeling.
- Coastal resilience studies.

3. Personal Attributes

Strong intellectual curiosity.
Self-motivation for independent scientific research.

4. Admission Requirements

Applicants must meet University of Houston Graduate School admission requirements.
International applicants must provide TOEFL/IELTS scores.

Application Process

Applicants should prepare a single PDF file named: “[Your Name] – PhD Application 2027”

This file must include:

Curriculum Vitae (CV)
Academic Transcript
Cover Letter (1–2 pages) outlining research experience, skills, and future interests
Contact information for three references
TOEFL/IELTS transcript (required for international applicants)

Each document plays a critical role. The CV demonstrates your academic and professional trajectory. The transcript provides evidence of your academic preparation. The cover letter is your chance to connect your skills and interests with the lab’s mission. References validate your capabilities and character.

Submission Details

Email applications to: Dr. Kunxiaojia Yuan at kyuan@central.uh.edu

Deadline

Applications received by August 21, 2026, will receive full consideration.
Review will continue until the position is filled.
Early submission is strongly encouraged.

Due to the high volume of applications, only shortlisted candidates may be contacted for further consideration.

Applicants should avoid common mistakes such as submitting incomplete files, failing to name the PDF correctly, or writing generic cover letters. Tailoring your application to the EcoClimate AI Lab’s focus areas significantly increases your chances.

Additional Opportunities

The EcoClimate AI Lab is continuously recruiting for:

Postdoctoral researchers
Ph.D. and M.S. students
Undergraduate research assistants
Visiting students and scholars

Interested individuals should reach out to Dr. Kunxiaojia Yuan with their CV and a brief introduction of their background and research interests.

Postdoctoral researchers often lead independent projects while mentoring graduate students. M.S. students may focus on applied aspects of AI in environmental monitoring. Undergraduate assistants gain hands-on experience with data collection and analysis. Visiting scholars benefit from UH’s resources and contribute to the lab’s international outlook.

About the University of Houston

The Department of Earth & Atmospheric Sciences at UH is one of the largest and best-funded departments in the U.S., situated within a top-tier R1 research institution. Students benefit from:

Outstanding research resources
Internship opportunities
Professional networking connections
Strong job placement records

Life in Houston

Houston, the fourth-largest city in the United States, offers:

A vibrant, diverse metropolitan environment
World-class museums and arts
Championship sports teams
An exceptional food scene
Affordable living compared to other major U.S. cities

This makes Houston an excellent place to live, study, and grow professionally.

Houston is also a hub for industries such as energy, healthcare, and aerospace. Students benefit from proximity to NASA’s Johnson Space Center and the Texas Medical Center. The city’s affordability makes it easier for students to live comfortably while pursuing advanced degrees.

Why Choose This Ph.D. Program?

Fully Funded Support – Students receive financial coverage for tuition and living expenses.
Cutting-Edge Research – Work at the intersection of AI and environmental sciences.
Global Collaboration – Engage with leading institutions and experts worldwide.
Career Advancement – Benefit from UH’s strong job placement record.
Quality of Life – Live in one of the most affordable and diverse major U.S. cities.

Graduates of this program often pursue careers in academia, government agencies, NGOs, and private companies specializing in sustainability and climate solutions. The program’s alumni network provides mentorship and career guidance long after graduation.

To learn more about this program, visit HERE.

Expanded Insights for Applicants

To reach a deeper understanding of what this program entails, let’s explore additional aspects that make this Ph.D. opportunity unique:

1. Interdisciplinary Training

Students will not only gain expertise in AI and ML but also acquire a strong foundation in environmental science, climate modeling, and geospatial analysis. This interdisciplinary training prepares graduates for careers in academia, government, and industry.

2. Research Impact

The lab’s work contributes directly to global efforts to combat climate change, improve ecosystem resilience, and develop sustainable solutions. Students will have the chance to publish in high-impact journals and present at international conferences.

3. Mentorship and Guidance

Faculty members provide personalized mentorship, guiding students through the complexities of research design, data analysis, and scientific communication.

4. Professional Development

Beyond research, students will have access to workshops, seminars, and networking events that enhance professional skills such as grant writing, project management, and public engagement.

Students will receive interdisciplinary training that includes GIS workshops, AI hackathons, and climate modeling seminars. Professional development opportunities include grant writing workshops, teaching assistantships, and science communication training. Students are also encouraged to engage in community outreach, sharing their research with local schools and organizations.

Frequently Asked Questions (FAQs)

1. Is this Ph.D. program fully funded?

Yes, the program provides full funding, covering tuition and living expenses.

2. What is the application deadline?

Applications received by August 21, 2026 will receive full consideration. Review will continue until the position is filled.

3. Who is eligible to apply?

Applicants worldwide are eligible, provided they meet UH Graduate School requirements. International applicants must submit TOEFL/IELTS scores.

4. What programming skills are required?

Proficiency in Python is essential. Experience with ML/AI applied to environmental or geospatial data is highly desirable.

5. Can I apply if my background is not in environmental sciences?

Yes, applicants with strong AI/ML skills and interest in environmental applications are encouraged to apply, even if their prior background is in computer science or related fields.

6. What kind of research projects will I work on?

Projects may involve modeling ecosystem responses to climate disturbances, analyzing remote sensing data, and developing AI-driven predictive models.

7. Are there opportunities for collaboration?

Yes, students will collaborate with institutions such as Lawrence Berkeley National Laboratory, Stanford University, and UT Austin.

8. What is life like in Houston?

Houston is a diverse, affordable, and vibrant city with world-class cultural, sports, and food scenes.

9. How competitive is the program?

The program is highly competitive due to its funding and interdisciplinary focus. Early submission is recommended.

10. What other opportunities are available in the lab?

The lab also recruits postdoctoral researchers, M.S. students, undergraduate assistants, and visiting scholars.

11. Will I have opportunities to publish my research?

Yes, students are encouraged to publish in peer-reviewed journals and present at international conferences.

12. What career paths can graduates pursue?

Graduates can pursue careers in academia, government agencies, environmental consulting, and technology companies focusing on sustainability.

13. Do I need prior publications to apply?

No, prior publications are not required, but research experience is highly valued.

14. Is GRE required?

Check UH Graduate School requirements;

Conclusion

The fully funded Ph.D. position at the EcoClimate AI Lab, University of Houston, is a rare and valuable opportunity for students passionate about combining AI and environmental sciences. With strong institutional support, interdisciplinary collaboration, and a thriving city environment, this program is designed to nurture the next generation of scientific leaders in climate and ecosystem research.

To explore and learn more about other fellowship opportunities, visit the OFY website HERE.

Fully-Funded Spring 2027 Ph.D. Fellowship: EcoClimate AI Lab, University of Houston ·Funded Spring 2027 Ph.D. Fellowship: EcoClimate AI Lab, University of Houston