Your tasks
- Perform molecular modelling simulations of As and Se incorporation processes in zeolites
- Apply machine learning methods to automatize theoretical calculations based on molecular calculations and the comparison with XAS/XRD data
- Analyze synchrotron-based pair distribution function (PDF) data
- Further develop existing theoretical molecular modelling tools for the data analysis of anion uptake processes by zeolites
- Collaborate within the framework of the project across the Laboratory of Waste Management, PSI, and with partners at other Swiss institutions
- Communicate results at conferences and in scientific journals, and prepare accurate visualization of results obtained
Your profile
- Experience in atomistic simulations and machine learning
- Familiarity with molecular simulation software such as CP2K, LAMMPS/GROMACS, or similar is expected
- Willingness and ability to work effectively within a multidisciplinary and multi-institutional collaborative team
- Excellent English language skills
- PhD degree in mineralogy, chemistry, physics, environmental or material sciences
We offer
Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.
Your employment contract is limited to 2 years.
For further information, please contact Dr Rainer Dähn, phone +41 56 310 2175.
Please submit your application online by 22 February 2026 (including a motivation letter, a list of publications, and addresses of referees) for the position as a Postdoctoral Fellow (Index-Nr. 4402-25836).
Paul Scherrer Institute, Human Resources Management, Serdal Varol, 5232 Villigen PSI, Switzerland