Maruf Farhan
11 months ago
Computer Science Tennessee Tech University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
United States
University
University Name
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Where to contact
Official Email
Keywords
Computer Science
Artificial Intelligence
Python Programming
Networking
Federated Learning
Reinforcement Learning
Network Architecture
Technical Engineering
Computer Security
Distributed Algorithms
Distributed System
Large Language Models
Machine learning
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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TTU is looking for Ph.D. students motivated to work in distributed machine learning, intelligent systems, network design, and secure AI infrastructure, starting in Spring 2025.
Dr. Zulkar Nine's research group, Distributed Al and Systems Laboratory (DAISL@TTU), is accepting prospective Ph.D. students in the interdisciplinary areas of distributed machine learning, intelligent system and network design, and sustainable and secure Al infrastructure. These research positions are fully funded (tuition fees and monthly stipend). Students holding a M.S. in computer science (or related fields) are highly encouraged to apply. However, students with a B.S. who have high research potential can also apply. GRE can be waived for students with a B.S. or M.S. from the USA.
MINIMUM QUALIFICATIONS:
• B.S. in computer science or engineering
• Knowledge and background in related fields
• Skills in machine learning, Python, Tensorflow, PyTorch,
Large Language Models
• Understanding of basic reinforcement learning, federated learning, and distributed machine learning
• System-level programming, network programming
• Departmental GRE and IELTS/TOFEL
requirements (when applicable)
PREFERRED QUALIFICATIONS:
• M.S. in computer science or computer engineering
• Prior research publications
• Experience in reinforcement learning model design
HOW TO APPLY:
Email [email protected] with the subject "Ph.D. candidate + Full name + highest degree earned by applicant."
email should contain:
Full CV
All Post-secondary (unofficial) transcripts.
Sample writing (academic paper, report, thesis)
After screening the shortlisted candidates, a virtual interview is expected.
# PhD # computerscience # usa # tennesseetechuniversity