The Institute of Chemical Research of Catalonia (ICIQ) is seeking a PhD student to work in Prof. Julio Lloret-Fillol's Research Group.
ICIQ is committed to performing excellent research at the frontier of knowledge in the broad area of chemistry (Catalysis, Artificial Photosynthesis, Activation of Small Molecules, Photovoltaics, Functional Molecular Assemblies and Chemical Biology, from either theoretical or experimental perspectives). The institute also aims at training the future generation of scientists by offering high-quality educational programmes to master, PhD students and postdoctoral researchers (Full details on https:// www. iciq.org/).
Our mission is to lead, from the vantage point of molecular science, cross- strategies for solving major social and economic challenges, such as climate change and sustainable supply of energetic and raw materials, thereby contributing to the establishment of a knowledge-based economy and improving citizens' quality of life in our influence area.
The objective of the PhD fellowship is to support the candidate's enrolment in a training and research programme in the field of chemistry, ultimately leading to the completion of a Doctoral Thesis in partnership with the Universitat Rovira i Virgili (URV). The fellowship will also contribute to their professional career development, in the fields of academia and industry.
This objective is achieved by:
The fellowship is addressed to highly qualified and talented graduate students with a keen interest in chemical research. Candidates should have an excellent academic record, strong commitment to scientific research and a solid working knowledge of English.
Project Title and Description: Developing Highly Active, Selective, and Robust Catalysts for Electrocatalytic CO2 reduction reaction to fuels using Automatization, Robotics and Artificial Intelligence.
Join our team at Auto4Fuel project and revolutionize the way we study electrocatalytic reactions. We are seeking highly motivated individuals to work on our cutting-edge PhD project, where we will develop an alternative methodology for robotic autonomous analysis of these reactions, with a focus on CO2 reduction reaction to fuels. We will first use molecular catalysts to gain a deeper understanding of the underlying mechanisms, and then use high entropic metal amalgama nanoparticles to develop highly robust catalysts. By producing a vast amount of multivariate and multi-dimensional data, we will gain a deeper understanding of catalytic performance and speed up the discovery of new catalysts. This data will be machine-readable and available for advanced data mining and machine learning techniques using neural networks. Be a part of this exciting journey and apply today!