Assistant Professor in Computational Research in Interface Chemical Reactions

About CBS:

Research within CBS is organized around two main areas: Chemistry with its main chemical engineering component, and chemo-biology as well as heat treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms of these transformations to suggest new, original, more effective, sustainable and environmentally friendly alternatives.

Job Description:

The Chemical & Biochemical Sciences Department is seeking applicants for Assistant professor position in computational research in interface chemical reactions to join our research team focused on studying reaction mechanisms and materials. The ideal candidate will have a strong background in modeling and simulation of atomic and molecular structures, along with extensive experience in analyzing the electronic and structural properties of materials. The position requires extensive knowledge in performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to elucidate complex reaction mechanisms occurring at the surface of various materials.

Key Responsibilities:

• Perform quantum mechanical calculations (DFT) for establishing reaction mechanisms and kinetics
• Develop and apply advanced computational models to predict the chemical and physical behaviours of materials
• Collaborate with experimental teams to interpret results and guide future experiments.
• Publish research findings in high-impact scientific journals and present at international conferences
• Mentor and train students and junior researchers

Required Qualifications

• Ph.D. in Chemistry, Physics, Materials Science, or a closely related field.
• Minimum of 3 to 5 years of postdoctoral experience or equivalent in using DFT for studying reaction mechanisms and materials.
• Demonstrated programming skills (Python, Fortran, C++).
• Proven track record of publishing scientific papers in peer-reviewed journals.

Skills and Attributes:

• Strong analytical skills and ability to solve complex problems.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team in a collaborative research environment.
• Motivation for innovation and scientific excellence.
• Ability to manage multiple projects simultaneously and meet deadlines.