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Job Description

University: Eindhoven University of Technology (TU/e)

Country: France, Netherlands

Deadline: 2025-08-10

Fields: Engineering, Applied Mathematics, Operations Research, Management, Public Health

How can you help shape the future of public health by making vaccine distribution more equitable and efficient? If you are passionate about leveraging your quantitative and analytical skills to address real-world challenges in healthcare, the SOECOVAC initiative offers a unique opportunity to contribute to cutting-edge research at the intersection of epidemiology, operations research, and socioeconomic policy.

About The University Or Research Institute

The PhD position is part of the SOECOVAC initiative, an ANR-funded research project. The successful candidate will be primarily based in France, with the possibility of registering at the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e), Netherlands. TU/e is internationally recognized for its excellence in engineering and innovation sciences, offering a vibrant academic environment, interdisciplinary research opportunities, and strong industry connections. Collaborative research visits to TU/e are anticipated, and successful completion will lead to a TU/e PhD diploma, providing a strong foundation for an academic or industry career in Europe and beyond.

Research Topic and Significance

The COVID-19 pandemic highlighted significant challenges in vaccine allocation and distribution, including logistical bottlenecks, disparities in access, and varying degrees of public acceptance. This PhD project aims to address these issues by developing a dynamic and robust socioeconomic model for vaccine allocation and distribution, with enhanced demographic considerations. By integrating epidemiological simulation, robust optimization, and socioeconomic modeling, the research seeks to inform policy and practice, ensuring that future vaccination campaigns are both effective and equitable. The societal impact of this work is substantial, as it aims to minimize health disparities and improve public health outcomes during pandemics and other health crises.

Project Details

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The SOECOVAC PhD Project Will Focus On

– Optimization and epidemiological simulation to design vaccination strategies.

– Socioeconomic modeling to incorporate demographic, ethical, and logistical prioritization.

– Developing robust strategies for vaccine logistics under uncertainty, considering supply chain constraints and public acceptance dynamics.

The project is supervised by Professor Mohammadi (as advertised on LinkedIn) and involves collaboration with the Department of Industrial Engineering and Innovation Sciences at TU/e. The candidate will benefit from an international research environment, access to leading experts, and opportunities for professional development through collaborative visits and interdisciplinary research.

Candidate Profile

This Position Is Ideally Suited For Candidates Who

– Hold a Master’s degree in Engineering, Applied Mathematics, Operations Research, or Management.

– Possess a strong background in mathematical modeling and optimization.

– Are proficient in programming languages such as Python, R, or similar.

– Have knowledge or experience in supply chain management, vaccine distribution, or epidemiological modeling (preferred but not required).

– Demonstrate excellent English communication skills.

– Have previous research experience or publications (highly valued).

– Are motivated, collaborative, and eager to contribute to impactful research in public health and operations.

Application Process

Application Deadline: August 10th, 2025

To Apply, Submit The Following Documents

– CV

– Motivation letter

– Academic transcripts

– 2 recommendation letters

– Any relevant publications

Send Your Application Materials To

m[dot]mohammadi1[at]tue[dot]nl

amir[dot]pirayesh[at]kedgebs[dot]com

Conclusion

If you are ready to make a meaningful contribution to the field of vaccine allocation and public health, this fully funded PhD position offers a unique platform to develop your expertise and advance your career. We encourage all eligible and motivated candidates to apply and to explore similar opportunities listed below.

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Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Burdwan ,West Bengal
Company Website: Phdfinder.com Job Function: Research & Innovation
Company Industry/
Sector:
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