AI-Driven Doctoral Research Opportunity in Sustainable Aluminium Forming
Embark on an impactful research journey with a fully funded PhD studentship in AI-assisted solutions for sustainable aluminium forming products.
This esteemed position, funded by the Agencia Estatal de Investigación (AEI), focuses on enhancing crashworthiness and impact applications within the evolving automotive sector.
You will be instrumental in developing intelligent strategies to reduce the carbon footprint of metal forming industries, aligning with ambitious climate-neutral goals.
This doctoral position offers a unique opportunity to work at the forefront of innovation, investigating the use of low carbon and scrap-tolerant aluminium alloys for electric vehicle components.
You will contribute to experimental validation, computational modelling, and the application of mechanics-informed data-driven machine learning, directly addressing the challenges of vehicle electrification and safety performance.
Ideal candidates will possess a strong academic background and a passion for advanced materials and artificial intelligence.
This role provides comprehensive funding, including tuition fees and a budget for international research stays, fostering professional growth and global collaboration within a leading academic institution.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Automotive |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | Mondragon Unibertsitatea |
| Occupational Category: | Research |
| Education Requirements | Postgraduate Degree |
| Employment Type: | full-time |
| Advertisement Source: | eurojobs.com |
| Job Location: | Euskadi |
| Country of Appointment: | Spain |
| Employer Department: | Advanced Materials Forming Group |
| Employer Address: | Mondragon, Bilbao (Zorrozaurre) and Hernani (Galarreta) |
| Work Hours: | Full-time, 4-year predoctoral position |
Further Details
This comprehensive doctoral research opportunity focuses on developing AI-assisted solutions for sustainable aluminium forming products, specifically for crashworthiness and impact applications. The AEI-funded PhD studentship targets the reduction of greenhouse gas emissions in the automotive value chain, contributing to the EU's climate neutrality objectives by 2050. The research will delve into experimental validation of novel aluminium alloys and the creation of advanced computational constitutive and machine learning models. This position is perfect for ambitious individuals eager to drive innovation in lightweight material design and advanced forming processes for electric vehicles, offering a pathway to significant contributions in sustainable engineering. Gain invaluable experience in advanced mechanical characterization, computational modelling, and cutting-edge AI technologies. The fully funded program includes tuition, international research opportunities, and publication support in high-impact journals, setting the stage for a distinguished career in research and development.
AI-Driven Doctoral Research Opportunity in Sustainable Aluminium Forming
The automotive industry is undergoing a profound transformation towards electrification and sustainability. This fully funded PhD studentship offers a pivotal role in shaping the future of this sector by focusing on AI-assisted solutions for aluminium forming products. You will contribute to critical advancements in crashworthiness and impact applications, supporting the EU's ambitious environmental targets. This research initiative is driven by the need to reduce greenhouse gas emissions across the automotive value chain. You will explore innovative approaches, including the use of low carbon and scrap-tolerant aluminium alloys, and develop sophisticated computational models. This position is ideal for aspiring researchers seeking to make a significant impact in sustainable engineering and advanced materials science. Key Highlights:- Fully funded 4-year PhD studentship by the Agencia Estatal de Investigación (AEI)
- Focus on AI-assisted solutions in sustainable aluminium forming for crashworthiness and impact
- Investigate low carbon and scrap-tolerant aluminium alloys for EV applications
- Develop advanced computational constitutive and machine learning models
- Includes tuition fees and a budget for short stays abroad (3 months)
- Opportunity to collaborate with leading researchers and publish in high-impact journals
Skills
- Ability to use conventional testing devices (universal testing machine)
- Proficiency with experimental setups like Hopkinson bar systems and biaxial hydraulic testing machines
- Strong theoretical and mathematical background for programming computational constitutive models
- Competence in applying emerging AI technology to mechanical problems
- Excellent communication and presentation skills for national and international conferences
- Proven ability to publish peer-reviewed articles in high impact indexed journals
Duties and Responsibilities:
- Conduct advanced mechanical characterization of sustainable aluminium alloys
- Develop AI-assisted computational constitutive models
- Program computational constitutive models
- Employ AI technology for forming and constitutive modelling challenges
- Attend and present at national and international conferences
- Publish research findings in high impact indexed journals
How to apply
- 💼 Prepare Your Application: Gather your academic transcripts, CV, and any relevant research or publication samples.
- 🔎 Review Requirements: Ensure you meet the qualification criteria and have the necessary technical skills for advanced mechanical characterization and computational modelling.
- 📅 Submit by Deadline: Applications must be submitted by December 18, 2026.
- 👉 Apply Now: Visit the official application portal via the provided link to submit your complete application.
- ⏳ Program Start: The thesis is expected to commence within one week of admission by the Academic Committee of the Doctoral Programme.
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