Controlled Precipitation of Advanced Silica Materials - BC-999
Genre de projet: RechercheDiscipline(s) souhaitée(s): Génie - chimique / biologique, Génie, Chimie, Sciences naturelles
Entreprise: Carbonyx Minerals Inc.
Durée du projet: 6 mois à 1 an
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Vancouver, BC, Canada
Nombre de postes: 1
Niveau de scolarité désiré: MaîtriseDoctoratRecherche postdoctorale
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No
Au sujet de l’entreprise:
Carbonyx is on a mission to quietly store gigatons of CO2 by transforming industrial waste and atmospheric carbon into advanced materials for industry. Through modular, local production, our process reduces dependence on long-distance transport, streamlines supply chains, and delivers a reliable, consistent material. Our materials integrate seamlessly into existing operations and outperform conventional options in both cost and performance. We don’t just make advanced materials; we make climate solutions that strengthen industries and clean up their footprint at the same time.
Veuillez décrire le projet.:
The objectives of this project are to gain an understanding of how various reaction parameters influence the structure of a silica product and to develop a methodology for the precipitation of novel silica materials. Variables such as pH, precursor concentration, temperature, and time will be explored to determine their effect on silica particle size, porosity, and structure. Precipitation methods will be engineered to achieve specific silica properties, and the methods will be validated in a real-life pilot process.
Expertise ou compétences exigées:
We are seeking a chemist, chemical engineer, materials scientist, materials engineer, or other with experience in materials characterization and synthesis. The ideal candidate should have experience with wet chemistry and characterization methods. Candidates should have access to materials characterization equipment such as surface area analysis (e.g. BET), imaging (e.g. SEM, EDX, TEM), particle sizing (e.g. DLS), and/or composition analysis (e.g. XRF, XPS, ICP-MS/OES).
