Post-Doctoral Researcher at KAUST

Within the framework of an international project, COHMAS LAboratory at KAUST is looking for highly motivated postdoctoral researcher. The aim is to work on a transversal research collaborative (CRG 2017) on adhesive bonding of carbon-fiber reinforced composite materials between KAUST and University of Calabria. The project deals with the development of new concepts for adhesive bonding of carbon fiber reinforced composite materials. The ideal candidate will have a strong background in manufacturing, mechanics and characterization of polymer composites or a closely related subject. A PhD degree with a track record of research, e.g. journal and/or conference publications, in the area of composite manufacturing, mechanical testing, adhesive bonding, composite damage/repairs, is required. Knowledge of surface preparation techniques for adhesive bonding of thermoset composites and fracture mechanics testing is strongly preferred. Additional theoretical knowledge and practical experience in polymers (especially thermoplastics) processing and functionalization would be an asset. We expect the candidate to possess very strong problem-solving skills, willingness to learn, ability to work independently, experience in writing publications and good presentation skills.

If you are interested to know more about the above positions, feel free to send email to Prof. Gilles Lubineau (gilles.lubineau@kaust.edu.sa) and please make CC to Ms. Huiping Chen - Research Assistant (huiping.chen@kaust.edu.sa) and Prof. Marco Alfano (marco.alfano@unical.it).

Composite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS), which was created in 2009 as an integrated environment for composite science (with the strong desire to combine modeling and experimental expertise in a single working environment), is located at King Abdullah University of Science and Technology (KAUST) and forms part of the Physical Science and Engineering Division. Our general research activities include: developing advanced materials, understanding and predicting the integrity of materials and structures, advancing modeling and computational techniques.