Amanuens Position in Machine Learning of Surface Properties for Heterogeneous Catalysis
Chalmers tekniska högskola
Göteborg
Permanent
Heltid
10 dagar sedan
Amanuens Position in Machine Learning of Surface Properties for Heterogeneous CatalysisMultimetallic nanoparticles are promising catalysts for sustainable technologies, but their vast diversity of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites, enabling rapid assessment of site-specific reactivity and guiding the design of advanced catalytic materials.The student will join the at the . The lab tackles fundamental questions in surface- and electrochemistry aiming to design materials for (electro)catalytic and energy storage applications supporting a sustainable society. As a member of the lab, you will be exposed to a broad range of computational methodologies, ranging from material characterization, via machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is intended to run in parallel with master level studies at a Swedish higher education institutions and is part of the , including multidisciplinary collaborations with local and national research groups.Job descriptionThis project will create computational tools to predict site-specific d-electron DOS in multimetallic nanoparticles, linking local structure and composition to catalytic behavior. By bridging atomistic theory and machine learning, the work will help explain activity trends and guide the rational design of alloy catalysts for sustainable energy applications. The results will contribute to accelerating the discovery of efficient catalytic materials beyond traditional trial-and-error approaches.In this role, you will also conduct research within the project and support collaborations with local and national research groups. The position will help you prepare and plan your future career in industry, academia, or other sectors.Contract termsThe employment is limited to seven months at 20% rate, or the equivalent.Mandatory qualifications:
A Bachelor's degree in chemistry, chemical engineering, physics, materials science or related field is required for this position.
Fluency in written and oral English is required
Enrolled in a master program at a Swedish higher education institution
Meritorious skills/experiences:
Experience with machine learning or artificial intelligence methods with applications in chemistry
Experience with and/or knowledge about quantum chemistry and computational chemistry tools
Experience from academic or industrial research environments
Good written and oral communication skills
Application procedureThe application should be attached as PDF files, as below:
CV
Personal letter
Other documents (optional):
Copies of completed education, grades etc.
Please use the button at the bottom of the page to reach the application form. We do not accept applications sent by email.Application deadline: 7 september, 2025For questions, please contact:Joakim Halldin Stenlid stenlid@chalmers.se*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez - forward.Länk till den här sidan https://www.chalmers.se/om-chalmers/arbeta-hos-oss/lediga-tjanster/?rmpage=job&rmjob=14164&rmlang=SE
