Openings
Open Positions
Join our dynamic research team at the NanoBioMech-AI Lab! We are seeking highly motivated PhD students to contribute to cutting-edge research at the intersection of mechanics, materials science, and artificial intelligence.
Current Openings
PhD Position 1: Machine Learning in Mechanics
Research Focus: Development of physics-informed neural networks and deep learning approaches for mechanical metamaterial design and characterization.
Project Description: We are seeking a PhD student to work on the development of novel machine learning frameworks for the inverse design of mechanical metamaterials. The successful candidate will work on projects involving neural operators (DeepONet, Neural ODEs), physics-informed neural networks, and data-driven approaches for understanding complex mechanical behaviors in architected materials.
Key Responsibilities:
- Develop and implement machine learning algorithms for metamaterial design
- Conduct computational simulations and experimental validation
- Collaborate with interdisciplinary team members
- Publish research findings in top-tier journals
- Present work at international conferences
Preferred Qualifications:
- Master’s degree in Mechanical Engineering, Materials Science, Computer Science, or related field
- Strong background in machine learning, deep learning, and computational mechanics
- Experience with Python, PyTorch/TensorFlow, and finite element analysis
- Knowledge of metamaterials, mechanics of materials, or computational physics
- Strong mathematical background in differential equations and optimization
- Excellent written and oral communication skills
- Prior research experience in ML applications to engineering problems
Application Requirements:
- CV with academic and research background
- Statement of purpose (2 pages max)
- Transcripts from all universities attended
- Contact information for 3 references
- Sample of previous research work (if available)
PhD Position 2: Experimental Solid Mechanics
Research Focus: Advanced experimental techniques for characterizing mechanical properties of nanomaterials and bioinspired materials.
Project Description: We are seeking a PhD student to work on developing novel experimental methodologies for characterizing mechanical properties of nanomaterials, bioinspired materials, and soft matter systems. The research will involve in-situ testing, micro/nano-scale mechanical characterization, and development of new experimental platforms.
Key Responsibilities:
- Design and conduct mechanical testing experiments
- Develop novel experimental techniques and instrumentation
- Analyze experimental data and correlate with theoretical models
- Collaborate with computational and theoretical researchers
- Publish research findings in high-impact journals
- Present work at national and international conferences
Preferred Qualifications:
- Master’s degree in Mechanical Engineering, Materials Science, Physics, or related field
- Strong background in experimental mechanics and materials characterization
- Experience with mechanical testing equipment (MTS, Instron, nanoindentation, etc.)
- Knowledge of microscopy techniques (SEM, TEM, AFM, optical microscopy)
- Experience with data analysis software (MATLAB, Python, LabVIEW)
- Understanding of mechanics of materials and solid mechanics principles
- Hands-on laboratory experience with mechanical testing
- Excellent problem-solving and analytical skills
- Strong written and oral communication skills
Application Requirements:
- CV with academic and research background
- Statement of purpose (2 pages max)
- Transcripts from all universities attended
- Contact information for 3 references
- Description of relevant laboratory experience
Application Process
How to Apply:
- Send your application materials to: jinhx@ucmail.uc.edu
- Use subject line: “PhD Application - [Position Title]”
- Applications will be reviewed on a rolling basis
- Selected candidates will be invited for interviews
Application Deadline: Open until filled
Start Date: Fall 2025 or Spring 2026
What We Offer
- Competitive stipend and full tuition coverage
- State-of-the-art facilities with cutting-edge equipment
- Collaborative research environment with interdisciplinary teams
- Opportunities for international collaboration and conference travel
- Professional development and career mentoring
- Access to high-performance computing resources
- Publication support and conference presentation opportunities
Research Environment
Our lab is located in a world-class research facility with access to:
- Advanced mechanical testing equipment
- High-resolution microscopy facilities
- High-performance computing clusters
- Clean room facilities for sample preparation
- Collaborative spaces for interdisciplinary research
Contact Information
Principal Investigator: Dr. Hanxun Jin
Email: jinhx@ucmail.uc.edu
Lab Website: www.nanobiomech-lab.com
For questions about specific positions or the application process, please don’t hesitate to reach out!
The NanoBioMech-AI Lab is committed to diversity, equity, and inclusion. We encourage applications from candidates of all backgrounds and experiences.