PhD Position in Advanced Topology Optimization for Additive Manufacturing with Continuous Fiber
Develop cutting-edge topology optimization methods for continuous fiber-reinforced composites using classical and quantum algorithms.
Best for:Best for engineers or researchers with a strong background in mechanical engineering, additive manufacturing, and an interest in quantum computing and optimization algorithms.
Overview
This PhD position at Universidad del País Vasco (UPV/EHU) focuses on advancing topology optimization techniques for designing continuous fiber-reinforced composites manufactured via 3D printing. The project integrates non-conventional fiber orientations and accounts for material anisotropy and manufacturing constraints. The candidate will explore both classical and quantum algorithms, leveraging access to quantum computing platforms like IBM Quantum System Two in San Sebastián. The research will be conducted within the Mechanical Analysis and Design Group, which has a strong track record in national and international projects. The successful applicant will contribute to innovative solutions at the intersection of additive manufacturing and quantum computing, with full access to necessary infrastructure and real-world quantum hardware.
What you'll do
- Develop topology optimization procedures for designing continuous fiber-reinforced composites manufactured via 3D printing.
- Investigate and implement classical algorithms for solving topology optimization problems.
- Explore the application of quantum algorithms for topology optimization, analyzing their viability and potential advantages.
- Leverage access to quantum computing platforms, including IBM Quantum System Two, for testing and executing developed programs.
- Conduct research within the Mechanical Analysis and Design Group, contributing to ongoing national and international projects.
- Complete doctoral thesis with full access to necessary research infrastructure and facilities.
- Publish findings in prestigious academic journals and present research at conferences.
Requirements
Degree required: Master's degree or equivalent in Mechanical Engineering or a related field
Degree offered: PhD
Language: English; proficiency sufficient for academic research and communication
Instruction: English
- Strong background in mechanical engineering or related discipline
- Experience with topology optimization techniques
- Knowledge of additive manufacturing processes
- Familiarity with classical optimization algorithms
- Basic understanding of quantum computing principles
- Open to applicants with a Master's degree or equivalent
- No specific nationality or residency restrictions mentioned
Funding & terms
How to apply
Deadline: 2026-11-05 (Europe/Madrid)
Applicants must submit their application through the official UPV/EHU portal for PhD admissions. The application process involves filling out an online form and uploading required documents. Detailed instructions and the application link are available on the university’s research management website.
- CV
- Cover letter explaining research interest and qualifications
- Master's degree certificate and transcripts
- Academic references or letters of recommendation
- Motivation letter for the PhD programme
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.