Prospective Ph.D. Students
Please feel free to reach out to me (axleie@rit.edu) to discuss further.
Prospective Ph.D. Students (1-2 fully-funded for 2027 Spring and Fall)
Our lab is seeking highly motivated Ph.D. students who are passionate about developing AI-driven technologies for manufacturing and engineering systems.
We welcome applicants interested in:
AI and machine learning
Smart and additive manufacturing
Robotics and intelligent automation
Computer vision and intelligent sensing
Multimodal and federated learning
Desired Background
Applicants from the following disciplines are encouraged to apply: electrical or computer engineering, industrial engineering, mechanical engineering, and computer science.
What We Look For
Successful Ph.D. students are expected to be systems thinkers who enjoy both algorithm development and hands-on experimentation.
Ideal candidates should have:
Strong programming skills with AI-assisted debugging ability (Python preferred)
Interested in machine learning, data science, and AI
Curiosity about intelligent manufacturing, robotics, or engineering systems.
Would like to work with sensors and experimental platforms.
Good problem-solving skills, initiative, and excellent communication.
Prior experience with additive manufacturing, robotics, or machine learning is beneficial but not required. Motivation, creativity, enthusiasm for learning, emotional stability, and resilience in the face of failure are highly valued.
What We Offer
Students joining the Lab can expect:
Opportunities to work on cutting-edge problems at the intersection of AI and manufacturing.
Access to advanced computing resources, sensing technologies, and additive manufacturing facilities, including collaborations with the RIT Research Center.
Strong encouragement and support for publishing high-impact research and presenting at international conferences.
Training in both computational methods and experimental research, preparing students for careers in academia, industry, or entrepreneurship.
Opportunities to participate in interdisciplinary collaborations and contribute to real-world engineering solutions.
How to Apply
Interested applicants should email:
Your CV or resume.
Unofficial transcripts;
A brief statement of research interest
(Optional) Representative publications, project portfolios, or GitHub repositories.
Email subject: Prospective PhD Student (RIT)
Please kindly refer to the University's admission requirements and deadlines.