Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Join the Sustainable Materials Research Center at UM6P to develop AI-driven predictive models for sustainable polymer materials.
Best for:Best for postdoctoral researchers with expertise in computational chemistry, machine learning, and polymer materials science who are passionate about sustainable innovation.
Overview
This postdoctoral position at Mohammed VI Polytechnic University (UM6P) focuses on advancing sustainable polymer materials through computational chemistry and data-driven approaches. The successful candidate will build chemical databases, create predictive models using artificial intelligence, and optimize material properties. The role involves interdisciplinary collaboration with chemists, data scientists, and engineers, as well as experimental testing, publication of findings, and mentoring students. The project aligns with global efforts to promote green and circular economies, particularly in Morocco and Africa.
What you'll do
- Develop and evaluate chemical databases using experimental and computational data.
- Create predictive models for polymer materials using artificial intelligence techniques.
- Optimize material properties through computational design and experimental validation.
- Conduct experimental testing of newly designed materials.
- Collaborate with interdisciplinary teams including chemists, data scientists, and engineers.
- Document experimental and computational procedures, results, and observations meticulously.
- Prepare technical reports, research papers, and conference presentations.
- Generate new research ideas and contribute to grant writing for external funding.
- Participate in the supervision of undergraduate, master’s, and doctoral students.
- Contribute to the broader research activities of the Sustainable Materials Research Center.
Requirements
Degree required: PhD in Computational Chemistry, Materials Science, or a related field
Language: English; proficiency required for scientific communication and collaboration
Instruction: English
- Proven expertise in computational chemistry techniques (e.g., molecular dynamics, quantum mechanical simulations)
- Strong programming skills and proficiency in computational software tools
- Experience with machine learning and data-driven modeling approaches
- Background in polymer chemistry or materials science
- Excellent problem-solving and independent research capabilities
- Strong written and verbal communication skills for scientific dissemination
- No specific nationality restrictions mentioned
- No residency or age limitations specified
- No prior experience caps mentioned
Funding & terms
How to apply
Deadline: 2026-11-04
Applicants must submit a detailed CV, a motivation letter highlighting their interest and motivation, a brief research statement, and contact information for two referees. The application folder should be compiled and submitted as per the university’s guidelines.
- Detailed CV
- Motivation letter
- Brief research statement
- Contact information of 2 referees
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