The Graz University of Technology seeks a highly qualified and scientifically excellent person who has committed her/his/their research on advanced computational techniques to model and simulate materials and chemical systems, by implementing machine learning approaches and/or big data mining in the field of materials chemistry or physical chemistry. The selected person will collaborate closely with experimentalists including materials scientists and chemists to bridge the gap between theory and experimentation, driving innovation and problem-solving. The position is promoted by the interfaculty Field of Expertise (FOE) "Advanced Materials Science" (AMS) and thus a multidisciplinary research strategy is highly favored.

The scientific focus of the candidate should strengthen and complement one of the strategic themes of the Field of Expertise Advanced Materials Science focusing on energy materials, sensor materials, thin films, soft matter, semiconductors, porous materials, functional (biobased/bio-degradable) polymeric materials, or chemical aspects enabling the progress of advanced materials. In addition, we expect willingness to engage in interdisciplinary cooperation inside and outside of TU Graz (e.g. NAWI Graz), and cooperation across faculty borders within the TU Graz Field of Expertise „Advanced Materials Science'

More information on the position can be found at https://jobs.tugraz.at/en/jobs/59797cc6-7c55-399d-9bc6-65d34e3aa7c2