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EPFL

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PhD position in Integrated Design and Optimization at EPFL EPFL in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time 3-year doctoral position funded by Horizon Europe MSCA-DN TurboImpact. Successful candidates receive a comprehensive financial package under MSCA Doctoral Network rules, including competitive salary, mobility and family allowances where applicable, full social security coverage, paid leave, and access to national social security schemes.

Deadline

Nov 30, 2026

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Country

Switzerland

University

EPFL

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Keywords

Computer Science
Systems Engineering
Mechanical Engineering
Materials Science
Aerospace Engineering
Circuit Design
Fluid Mechanics
Manufacturing Engineering
Industrial Engineering
Multi-objective Optimization
Turbomachinery
Energy Conversion
Optimisation
Surrogate Modeling
ML

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About this position

EPFL is advertising a PhD position in Integrated Design and Optimization within the STI IGM LAMD group in Neuchatel, Switzerland. The project is part of TurboImpact, a Horizon Europe MSCA Doctoral Network focused on the design, optimization, material selection, and manufacturing of small-scale turbomachinery for applications such as heat pumps, fuel cells, organic Rankine cycles, and gas turbines.

The research emphasis is on model order reduction, surrogate modeling, machine learning / AI, data-driven methods, multi-objective and multi-disciplinary optimization, constraint handling, and systems engineering. The position also connects to energy conversion systems, dynamic systems, turbomachinery, fluid dynamics, and manufacturing processes, making it a strong fit for candidates with a mechanical engineering or related engineering background.

The successful PhD student will work closely with industry partners, carry out experimental design and execution, analyze and interpret results, write journal articles, present at international conferences, and contribute to teaching and student supervision. The broader consortium includes 14 doctoral candidates working on complementary topics with supervision from European universities and research-intensive companies.

Funding is provided under MSCA Doctoral Network rules. The package includes a competitive salary, mobility and family allowances where applicable, full social security coverage, and paid leave. The appointment lasts 3 years and is expected to start on 1 February 2027 or by mutual agreement.

Eligibility highlights: applicants must not already hold a PhD, must satisfy the MSCA mobility rule, and must have a two-year master's degree in Mechanical Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a closely related field. Strong preparation in optimization, surrogate modeling, and turbomachinery-related engineering topics is especially relevant.

Application deadline: 30 November 2026 at 23:59. Apply online through the EPFL careers portal and submit one PDF containing the required documents: motivation letter, CV, grade transcripts, BSc/MSc diplomas with grading scale, BSc thesis, MSc thesis, and three referee names. Short-listed candidates will also need to apply separately to the relevant EPFL Doctoral Program for admission.

Funding details

Full-time 3-year doctoral position funded by Horizon Europe MSCA-DN TurboImpact. Successful candidates receive a comprehensive financial package under MSCA Doctoral Network rules, including competitive salary, mobility and family allowances where applicable, full social security coverage, paid leave, and access to national social security schemes.

What's required

Applicants must be doctoral candidates and comply with the MSCA Mobility Rule, meaning they must not have resided or carried out their main activity in Switzerland for more than 12 months during the 36 months immediately preceding recruitment. Candidates must already be eligible under MSCA Doctoral Network rules and must not hold a doctoral degree. A two-year master's degree in Mechanical Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with equivalent academic level is required. Strong background is expected in model order reduction, surrogate modeling (ML/AI), data-driven methods, multi-objective and multi-disciplinary optimization, constraint handling, systems engineering, energy conversion systems, dynamic systems, turbomachinery, fluid dynamics, and manufacturing processes.

How to apply

Submit a complete online application by the deadline through the EPFL 'Apply now' link. Upload all materials as one PDF in English, including motivation letter, CV, transcripts, BSc/MSc diplomas with grading scale, BSc thesis, MSc thesis, and three referees. Short-listed candidates will later need to apply to a specific EPFL Doctoral Program for PhD eligibility.

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