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Fully Funded PhD in Machine Learning & Generative AI – University of Nevada, Las Vegas (Fall 2025 Admission)

Fully Funded PhD in Machine Learning & Generative AI – University of Nevada, Las Vegas (Fall 2025 Admission)

 

Apply now for a fully funded PhD position at the University of Nevada, Las Vegas (UNLV) in Computer Science. Research areas include Machine Learning, Generative AI, Cybersecurity, IoT, and Distributed Learning. Open for Fall 2025. High-stipend opportunity in the USA.

🎓 Fully Funded PhD Opportunity – Fall 2025 | University of Nevada, Las Vegas (UNLV), USA

Are you passionate about advancing technology, AI, and data security? A fully funded PhD position is now open in the Department of Computer Science at the University of Nevada, Las Vegas (UNLV) for Fall 2025 intake. This is a prestigious opportunity for students aiming to specialize in Machine Learning, Generative AI, Distributed Learning, and Cybersecurity.

📌 Key Research Areas

The selected PhD candidate will work under the mentorship of Dr. Zuobin Xiong, Assistant Professor at UNLV. His lab is focused on cutting-edge interdisciplinary research that combines AI, mathematics, and systems engineering.

🔬 Research Topics Include:
  • 🤖 Machine Learning (ML) & Deep Learning

  • 🌐 Distributed Learning Systems

  • 🔐 Cybersecurity & Data Privacy

  • 💡 Generative AI (GANs, Transformers, Diffusion Models)

  • 🧠 AI in IoT & Edge Computing

  • 📊 Big Data Analytics and Trustworthy AI

📍 University of Nevada, Las Vegas – Overview

UNLV is a Carnegie R1 (Very High Research Activity) university located in Las Vegas, Nevada – a city booming with tech startups, innovation hubs, and business growth. UNLV’s Howard R. Hughes College of Engineering offers top-tier research infrastructure, interdisciplinary collaboration, and funding opportunities for international students.

💼 Why Apply for This PhD Position?

✔️ Fully Funded: Includes full tuition coverage and a monthly research stipend.
✔️ High-Impact Research: Work on real-world applications in AI, cybersecurity, and edge computing.
✔️ Prestigious Faculty: Collaborate with Dr. Zuobin Xiong, whose work spans the latest in distributed ML, federated learning, and secure AI systems.
✔️ Location Advantage: Las Vegas is home to a growing number of tech companies, making it ideal for internships and networking.

📑 Eligibility Criteria

To qualify for this competitive, fully-funded PhD position, you must:

  • Hold a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fields.

  • Possess strong programming skills (Python, C++, or Java).

  • Demonstrate a solid understanding of mathematics, statistics, and machine learning frameworks.

  • Prior research experience or publications in AI/ML/Cybersecurity will be an added advantage.

✍️ Application Process

If you’re interested in applying for this Fall 2025 PhD position, here are the steps to follow:

📧 Step 1 – Email the Professor

Send the following documents in PDF format to Dr. Zuobin Xiong at 📩 zuobin.xiong@unlv.edu:

  • Academic CV

  • Cover Letter indicating your research interests and goals

  • Bachelor’s and Master’s transcripts (unofficial copies acceptable initially)

Pro Tip: Tailor your cover letter to match the professor’s current projects and cite related research if possible.

👨‍🏫 Professor Profile
🎓 Program Benefits
  • 💸 Monthly Research Assistant (RA) stipend

  • 🏫 Full tuition waiver for PhD students

  • 🏥 Health insurance coverage

  • 🌐 Access to cloud platforms like AWS, Google Cloud, and OpenAI APIs for research

  • 🎯 Conference funding for top-tier AI/ML and security conferences (e.g., NeurIPS, CVPR, IEEE S&P).

🛠️ Tools & Frameworks You’ll Work With
  • TensorFlow, PyTorch, JAX

  • Scikit-learn, XGBoost, LightGBM

  • Kubernetes for distributed ML

  • OpenMined for privacy-preserving ML

  • FedAvg, FedProx, and other FL algorithms

  • GANs, Transformers, and Diffusion Models.

🧠 About Dr. Zuobin Xiong

Dr. Xiong is an emerging leader in trustworthy AI systems, federated learning, and generative modeling. His research explores how to build scalable, privacy-aware AI systems that perform reliably across distributed environments.

He is actively publishing in top-tier conferences and journals, and his lab encourages cross-collaboration with researchers from security, data science, and IoT engineering backgrounds.

📅 Important Dates
  • Applications Open: May 2024

  • Target Start Date: August 2025 (Fall Intake)

  • Priority Consideration Deadline: October 2024

  • UNLV CS Department Deadline: Refer to official UNLV Graduate Admissions.

✈️ Visa Sponsorship & International Student Support

UNLV welcomes international applicants. The university offers:

  • F-1 visa sponsorship

  • Dedicated international student advising

  • English language support programs

  • Affordable living in Las Vegas metro area

📣 Design Your Future with UNLV

If you’re dreaming of working on next-gen AI systems, building distributed intelligence, or securing the future of machine learning in IoT and smart cities, this is your opportunity.

A fully funded PhD in Computer Science at UNLV is not just a degree — it’s a launchpad to top-tier academic, research, and industry roles in the AI era.

📬 Ready to Apply?

Send your Academic CV and motivation email today to: zuobin.xiong@unlv.edu

Subject Line: Prospective PhD Applicant – Fall 2025 – [Your Name]

Written by Pasupuleti

Empowering Aspirations: Your Ultimate Guide to Career and Academic Excellence.

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