Postdoctoral Researcher in Computational Chemistry and Machine Learning for Sustainable Polymer Materials
Benguerir, Marrakech-Safi, MoroccoGénéré automatiquement par Postule AI à partir de l’offre.
About the Position
Join the Sustainable Materials Research Center (SusMat-RC) at Mohammed VI Polytechnic University as a postdoctoral researcher. You will work on developing predictive models for polymer-based materials by extracting and analyzing experimental and computational data using artificial intelligence and machine learning techniques.
Main Responsibilities
- Build and evaluate chemical databases from experimental and computational data
- Develop and train neural networks and AI-based predictive models for material optimization
- Design and optimize polymer material properties using computational chemistry techniques
- Collaborate with interdisciplinary teams of chemists and data scientists
- Prepare technical reports, research papers, and conference presentations
- Supervise undergraduate, master's, and doctoral students on research projects
- Contribute to grant writing and seek external funding opportunities
Required Qualifications
- PhD in Computational Chemistry, Materials Science, or related field
- Strong expertise in computational chemistry techniques including molecular dynamics and quantum mechanical simulations
- Proficiency in programming languages and computational software
- Demonstrated experience developing and training neural networks for predictive modeling
- Excellent problem-solving and communication skills
- Ability to work independently and collaboratively in multidisciplinary teams
About UM6P
Mohammed VI Polytechnic University is an internationally oriented research institution committed to sustainable economic development in Morocco and Africa. The university emphasizes applied research, innovation, and transdisciplinary collaboration to address real-world challenges in sustainable materials and green economy transition.
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