About the team:The Computational Materials Physics group develops and applies quantum mechanics-based methods for the description of condensed matter systems, including the successful software package VASP (Vienna ab-initio Simulation Package). We focus on the development of methods to solve the many-electron Schrödinger equation for fermions and bosons with high accuracy and on the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master students. Computing time is available on our local cluster and on the Austrian Scientific Cluster, a supercomputer shared by Austria's major universities.Your future tasks:Active participation in research, teaching and administration, this impliesDevelopment and expansion of an independent research profileParticipation in research projectsInternational publication and presentation activitiesProject application and acquisition of third-party fundingIndependent teaching of courses to the extent of the collective agreement provisionsStudent supervisionParticipation in evaluation measures and quality assuranceFurthermore, collaboration with experimental and other theoretical groups in Vienna is desirable. Candidates should also actively contribute to and collaborate with the CRC TACO, https://sfb-taco.at/ a joint research project funded by the Austrian Science Fund. Qualification:Applicants have outstanding achievements or promise in any area ofmachine learning methods, and/or the development of novel solutions to the many-body Schrödinger equationtheoretical solid-state physics, including but not limited to modeling of surfaces, interfaces, and electrolysis Applicants with proven experience in the development of new computational methods and their application on high-performance computers are preferred.Completed technical or scientific doctoral studies in the field of solid state physics or chemical physics (mandatory)Good didactic skills (mandatory)High written and oral expression skills (mandatory)Computer user skills (mandatory)Excellent command of English (mandatory)Ability to work in a team (mandatory)Professional skills: Development of ab initio methods (optional)Methodological skills: Python, Fortran, C, C++ (optional)High performance computing (optional)We also expect:Teaching experience / experience with e-learning (optional)Experience in participating in research projects (optional) What we offer:Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement).Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (14 times a year) increases, if we can credit professional experience. The position is initially limited to 3 years, with the potential for extension to 4 years.Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply:All applications must include:a letter of motivationa CV with full academic historya list of courses taught and a list of publications and presentations including one or two representative reprints of previous research papersa statement of research interest and research agenda (two pages)ideally two letters of recommendationIf you have any questions, please contact:Georg Kresse georg.kresse@univie.ac.atWe look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.University of Vienna. Space for personalities. Since 1365.Data protectionApplication deadline: 03/27/2026 Post Doc Apply now