The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) at Leiden University are inviting applications for 3 fully funded PhD positions in Generative AI for Industrial Design Engineering under the MSCA Doctoral Network GenAIDE Project.
This ambitious international programme aims to transform computer-aided engineering into true human–AI co-design, in collaboration with partners such as Honda Research Institute Europe, Altair, MIT, MathWorks, and others.
Selected PhD candidates will join a structured, 4-year doctoral training programme, including industrial secondments, network-wide workshops, and career development opportunities.
Job Summary Table
Field | Details |
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Title | 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE Project) |
Organization/Publisher | Leiden University – Leiden Institute of Advanced Computer Science (LIACS) |
Work Location | Leiden, The Netherlands |
Research Field | Generative AI, Industrial Design Engineering, Explainable AI (XAI), Algorithm Design |
Funding Info | Fully funded – MSCA Industrial Doctorate |
Application Deadline | 1 October 2025 |
Posted Date | August 2025 |
Country | The Netherlands |
Researcher Profile | PhD Applicant (early career researcher, MSCA eligibility applies) |
Apply Button | Apply at Leiden University |
Required Qualification | MSc in Computer Science, AI, Engineering or related field |
Required Experience | Machine learning, evolutionary optimisation, programming (Python/C++), interest in generative models, CAD, or XAI |
Salary Details | €3,059 – €3,881 gross/month (scale P, Dutch Universities CLA), plus 8% holiday allowance and 8.3% end-of-year bonus |
About the GenAIDE Project
GenAIDE (Generative AI for Industrial Design Engineering) is a 48-month MSCA Industrial Doctorate that aims to create an AI Partner in Engineering (AIPE). This “co-designer” will be able to:
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Converse with engineers.
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Propose and optimise designs.
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Explain reasoning processes.
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Generate new optimisation algorithms.
The project involves 16 leading academic and industrial partners across Europe and the US.
The 3 PhD Research Projects
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Enhancing Search Parameter–Output Relationships of Generative Shape Optimisation
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Embedding LLMs to improve interpretability of generative optimisation outputs.
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Explainable AI with LLMs for Transparent Decision-Making in Design Engineering
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Developing human-readable explanations for AI-driven optimisation processes.
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Automated Algorithm Design using Large Language Models
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Applying LLMs to auto-generate and fine-tune optimisation algorithms.
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Candidate Profile & Eligibility
Applicants should demonstrate:
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MSc in Computer Science, Artificial Intelligence, or Engineering (or related field).
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Strong background in machine learning, optimisation, and programming.
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Proven interest in generative AI, explainable AI, or CAD.
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Excellent command of English.
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Willingness to engage in international mobility (3–6 months secondments).
MSCA Mobility Rule: Candidates must not have resided in the Netherlands for more than 12 months in the 36 months prior to recruitment.
What GenAIDE Offers
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Full-time PhD contract (4 years) – initially 1 year, extendable upon positive evaluation.
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Salary: €3,059 – €3,881 gross/month, plus allowances.
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Industrial & academic secondments at Honda Research Institute Europe, Altair, MIT, and others.
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ECTS-accredited training, summer schools, workshops, and hackathons.
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Travel funding for top conferences.
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Supervision by both academic and industrial mentors.
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Membership in Leiden Graduate School of Science.
How to Apply
Applicants must submit:
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Motivation letter (max 2 pages) – indicating preferred PhD project.
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CV (with publications, projects, and GitHub link if applicable).
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MSc degree transcript.
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Contact details of two referees.
📧 Enquiries:
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Dr Niki van Stein – [email protected]
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General queries: [email protected].
Official Reference
🔗 Leiden University – GenAIDE PhD Vacancies
⚠️ Disclaimer
This article summarises the official PhD advertisement by Leiden University under the MSCA GenAIDE Doctoral Network. For full details, eligibility, and submission guidelines, applicants must refer to the official Leiden University website.