Postdoc (m/f/d) Computational Chemist MOST at HIPOLE Jena

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Work group: . HIPOLE: Helmholtz-Institute for Polymers in Energy Applications Jena (HI-POLE). Area of research: . Scientific / postdoctoral posts. Job description: . Reference No. HI 2026/1 . The Helmholtz Institute HIPOLE: Helmholtz-Institute for Polymers in Energy Applications Jena (HI-POLE) is looking for . Postdoc (m/f/d) Computational Chemist MOST at HIPOLE Jena . Your Tasks. Screening of molecular solar thermal storage (MOST) systems, such as 2-thiophenylazobenzene derivatives, using quantum chemical methods and machine learning tools. Development of design concepts for optimizing MOST systems. Investigation of the influence of intermolecular interactions on the properties of MOST systems. Methods: Density Functional Theory (DFT), semi-empirical methods, wavefunction-based methods, and machine learning are applied. The results should be documented, evaluated, and then published. Close collaboration with experimental and theoretical research groups in Gießen, Erlangen, Tübingen, Frankfurt, and Heidelberg. Supervision of Bachelor's/Master's students and doctoral candidates. Summary, presentation and publication of the results in English. Your Profile. Completed academic degree in Chemistry or Materials Science. PhD (or near completion) in Theoretical Chemistry / Quantum Chemistry or Materials Modeling. Extensive knowledge in the fields of Theoretical Chemistry / Quantum Chemistr