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Available Fully Funded PhD at École Polytechnique fédérale de Lausanne Switzerland (EPFL)

Here you can find available PhD Positions at École Polytechnique fédérale de Lausanne Switzerland (EPFL).

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Available Fully Funded PhD at College of Management of Technology (CDM)

Research and education in engineering play pivotal roles within the realm of management science at our College. Furthermore, we infuse an entrepreneurial ethos into EPFL’s campus, foster cross-disciplinary partnerships, and adopt a holistic approach to addressing both industrial and societal challenges.

Title: CDM-PhD position at PASU lab (EPFL PhD)

Duration: 4 years

Earliest starting date: September 1, 2024.

Deadline: Open Until Filled

Summary:

The Policy & Sustainability (PASU) lab at EPFL seeks two PhD students to join their team for a new SNSF-funded project on Managing a Just Transition to Net Zero. The project aims to assess economic and labor market threats arising from the transition to net zero, and to identify effective policies to mitigate these risks. Key inquiries include evaluating worker and regional labor market vulnerabilities to decarbonization, identifying exposed occupations, assessing job search challenges for at-risk workers, evaluating the effectiveness of ‘just transition’ policies, and designing policies to foster support for net zero targets.

Requirements:

• Possession of a strong master’s degree in economics, computational social science, or a related quantitative social science field such as public policy.
• Candidates with an engineering background may be considered if they can demonstrate exposure to economics or computational social science in their coursework or master’s thesis.
• Demonstrated interest in climate, sustainability, energy, and/or labor economics issues.
• Proficiency in English; French language skills are not mandatory.

More Details and apply.

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Position Title: CDM – PhD position in Technology & Operations Management (TOM) (EPFL PhD)

Duration: The PhD position will typically span 4 years

Deadline: Open Until Filled

Summary:

• Full-time PhD Student position at the College of Management of Technology at EPFL, Lausanne.
• Research in collaboration with industry partners.
• Supervision of student projects and basic administrative support.
• Focus on addressing technology-based enterprise issues.
• Utilizing quantitative models for managerial insights.
• Emphasis on bridging theory and practice through industry collaboration.

Requirements:

• An excellent Master’s level degree in Industrial Engineering, Operations Research, Mathematics, or Computer Science.
• A strong mathematical background and a genuine interest in business-related topics.
• Proficiency in English, strong team spirit, independence, and a high level of motivation for academic research driven by practical problems.

More Details and apply.

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Position Title: CDM – PhD Position in Operations, Economics and Strategy (EPFL PhD)

Deadline: Open Until Filled

Summary:

A PhD student position is currently open at the Operations, Economics, and Strategy (OES) Chair, led by Prof. Thomas A. Weber, within the Management of Technology and Entrepreneurship Institute (MTEI) at the College of Management of Technology, EPFL, Lausanne, Switzerland.

Application Deadline: January 15th, 2024 (Early decision applications are encouraged for prompt review).

They seek highly motivated, exceptional candidates with backgrounds in engineering, applied mathematics, or economics. Applicants should possess expertise in mathematical model optimization and analysis. Detailed information about ongoing research can be found on the OES website. Proficiency in English is a mandatory requirement, and candidates must hold the equivalent of at least one master’s degree from a prestigious institution. Prior industry experience is advantageous.

Requirements:

• PhD student position at OES Chair, MTEI, EPFL.
• Application deadline: January 15th, 2024 (Early submissions recommended).
• Seek motivated candidates in engineering, applied mathematics, or economics.
• Proficiency in mathematical model optimization and analysis.
• Fluent in English.
• Minimum one master’s degree from a reputable institution.
• Industry experience is a valuable asset.

More Details and apply.