DMD-Lab welcomes motivated students and researchers interested in intelligent manufacturing, materials, modeling, data, distribution systems, and workforce development.
Opportunities vary by project needs, funding, and applicant fit.
Research Areas of Interest
- AI-enhanced additive manufacturing
- Computational modeling
- LPBF process modeling
- FFF and material extrusion
- Polymer and composite materials
- Rheology and materials characterization
- Smart manufacturing
- Digital twins
- Distribution analytics
- Lean distribution
- Engineering education
- Workforce development
Prospective PhD Students
PhD applicants should have strong research interests aligned with DMD-Lab’s work in manufacturing, materials, modeling, analytics, or engineering education.
MS Students
MS students may contribute to thesis, project-based, capstone-supported, or sponsored research activities connected to DMD-Lab priorities.
Undergraduate Researchers
Undergraduate researchers support hands-on work in prototyping, experimentation, data collection, literature review, outreach, and technical documentation.
Postdoctoral Researchers
Postdoctoral researchers are encouraged to connect when their expertise aligns with active or emerging DMD-Lab research areas.
Visiting Scholars
DMD-Lab welcomes visiting scholars whose work supports collaborative research, student training, and applied manufacturing or distribution impact.
Desired Background and Skills
Strong applicants may bring experience in manufacturing, mechanical systems, materials, coding, simulation, data analytics, machine learning, CAD, 3D printing, experimentation, technical writing, or project leadership.
How to Apply
Applicants should send a concise email with a CV or resume, brief research interests, relevant experience, and a clear explanation of how their goals align with DMD-Lab.
Email Subject Line
DMD-Lab Application: [Role] – [Your Name] – [Research Area]
Final Note to Applicants
DMD-Lab reviews inquiries carefully, but opportunities depend on project alignment, timing, funding, and available mentoring capacity.