Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 24 PhD Research Projects PhD Projects, Programmes & Scholarships in USA

Discipline

Discipline

All disciplines

Location

Location

USA

Institution

Institution

All Institutions

PhD Type

PhD Type

PhD Research Projects

Funding

Funding

All Funding


PhD Research Projects PhD Projects, Programmes & Scholarships in USA

We have 24 PhD Research Projects PhD Projects, Programmes & Scholarships in USA

Cognitive Science PhD

RIT's Cognitive Science Ph.D. provides an interdisciplinary study of the human mind that combines insights from psychology, computer science, linguistics, neuroscience, augmented reality, and philosophy. Read more

Electrochemo-mechanics modeling and characterization

We are actively recruiting FULLY-FUNDED 2-3 Ph.D. students for electrochemo-mechanics modeling of lithium-ion batteries. The length scale spans from atomic, molecular, and continuum levels (covering energy materials, electrode, cell, module, pack and electric vehicles). Read more

Computation-driven Design of Functional Materials

The urgent demand for new technologies has greatly exceeded the capabilities of current materials research. In the past decades, computational modelling has been playing an increasingly important role in accelerating materials discovery and innovation. Read more

Ph.D. Position in AI Accountability Project at the University of Houston

The Computational Biomedicine Lab at the University of Houston is offering a Ph.D. position in AI Accountability as part of the Community Responsive Algorithms for Social Accountability (CRASA) project. Read more

Childhood Obesity - Fully Funded Graduate Research Position

The Arnold School of Public Health at the University of South Carolina is currently seeking a PhD level applicant who are interested in pursuing a research‐focused doctoral degree on the topic of childhood obesity. Read more

Artificial Intelligence - Computer Vision

Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Read more

Filtering Results