postdoctoral researcher

Job description:

We are seeking a highly motivated and skilled postdoctoral researcher to join our dynamic team in the Sustainable Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials.

Key duties

The successful candidate is expected to:

• Build and evaluate chemical databases based on experimental and computational data.
• Establish predictive models based on artificial intelligence methods.
• Utilize the developed models to design and optimize the properties of materials.
• Conduct thorough experimental testing of developed materials.
• Collaborate with interdisciplinary teams, including organic and inorganic chemists, and data scientists.
• Maintain detailed records of experimental and computational procedures, results, and observations.
• Prepare technical reports, research papers, and presentations for conferences and scientific publications.
• Contribute to the generation of new research ideas, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects.
• Contribute on the group’s activities in processing of sustainable materials, (bio)polymer composites and their applications.
• Participate in the supervision of undergraduate, master’s, and doctoral students.

Criteria of the candidate

To be considered for this role, you will ideally have:

• PhD in Computational Chemistry, Materials Science, or a related field.
• Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning.
• Proficiency in programming languages and computational software’s.
• Strong motivation and passion for research in the field of sustainable materials and materials science.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong written and verbal communication skills for effective dissemination of research results.
• Exceptional organizational abilities to manage multiple tasks and projects efficiently.
• Strong commitment to high-quality research and ethical standards.

Application and Selection

Application folder must contain:

• Detailed CV.
• Motivation letter, emphasizing your specific interest and motivation
• Brief research statement.
• Contact information of 2 referees.