Postdoc: CO2 Sorbent Shaping & Aging Research

Empa; Dübendorf; Vor Ort; CHF 90.000 - 110.000; Vollzeit

Benefits dieser Stelle

State-of-the-art infrastructure

International research environment

Professional development opportunities

Zusammenfassung

Empa in Switzerland seeks a highly motivated researcher to join the NCCR-Network on Separations, focusing on shaped CO2 adsorbents and sorbent ageing. The project collaborates with EPFL, ETH Zurich and partners to develop scalable, energy-efficient separation technologies and metal recovery.

You will develop independent ideas, test them experimentally and computationally, and contribute to the team’s scientific output while coordinating activities within the network.

Qualifikationen

• PhD or equivalent research experience in porous materials, surface or adsorption/separation science.
• Excellent written and oral communication skills in English.
• Independent, collaborative researcher comfortable in an international environment.

Aufgaben

• Coordinate project activities and foster synergies within the team and with partners.
• Supervise intern students contributing to the project.
• Elucidate ageing mechanisms of solid sorbents under different ageing conditions.
• Develop accelerated/high-throughput sorbent ageing protocols.
• Define mitigation strategies for sorbent ageing.
• Develop versatile, upscalable shaping/coating procedures for sorbents.
• Contribute to new research lines and publish results.

Kenntnisse

Porous materials

Adsorption science

Sorption ageing

Sorbent shaping

Sorbent modelling

Ausbildung

Doctoral degree or equivalent research experience in porous materials/adsorption/separation

Tools

BET/NLDFT

SEM/TEM

TGA

FTIR

NMR

Jobbeschreibung

Empa in Switzerland seeks a highly motivated researcher to join the NCCR-Network on Separations, focusing on shaped CO2 adsorbents and sorbent ageing. The project collaborates with EPFL, ETH Zurich and partners to develop scalable, energy-efficient separation technologies and metal recovery.

You will develop independent ideas, test them experimentally and computationally, and contribute to the team’s scientific output while coordinating activities within the network.