PhD in Ion Chromatography: Adsorption Energy Modeling

ZHAW International; Winterthur; Hybrid; CHF 47,000 - 52,000; Full time

Job summary

Zurich University of Applied Sciences ZHAW invites applications for a PhD position focused on Adsorption Energy Distributions in Ion Chromatography. The successful candidate will explore energetic heterogeneity of stationary phases, develop new characterization methods, and combine experiments with data modelling in a collaborative research setting.

The project is hosted by the Institute of Chemistry and Biotechnology, with emphasis on interdisciplinary teamwork, high-end instrumentation, and

Qualifications

• Master's degree in Chemistry, Analytical Chemistry, Chemical Engineering, Materials Science or related discipline.
• Experience in chromatography, mathematical modelling or advanced data analysis is advantageous but not required.
• Excellent written and spoken English skills.

Responsibilities

• Develop and establish methodologies for determining adsorption energy distributions in ion chromatography.
• Perform adsorption isotherm measurements and chromatographic experiments using state-of-the-art analytical instrumentation.
• Investigate the relationship between stationary phase properties, adsorption energetics and peak shape characteristics.
• Develop and validate predictive models for chromatographic performance.
• Publish your findings in international peer-reviewed journals and present your work at scientific conferences.
• Contribute to collaborations with academic and industrial project partners.

Skills

Interest in chromatography

Independence and teamwork

Excellent English (written and spoken)

Scientific communication

Education

Master's degree in Chemistry or related field

Job description

Zurich University of Applied Sciences ZHAW invites applications for a PhD position focused on Adsorption Energy Distributions in Ion Chromatography. The successful candidate will explore energetic heterogeneity of stationary phases, develop new characterization methods, and combine experiments with data modelling in a collaborative research setting.

The project is hosted by the Institute of Chemistry and Biotechnology, with emphasis on interdisciplinary teamwork, high-end instrumentation, and