Call for Applications: 3-Year PhD Position in Austria via Ernst Mach Grant

CIA-SUT warmly encourages all SUT students to seize this opportunity and apply for a 3-year PhD position at the Chemical Modeling Group, Graz University of Technology (TU Graz), Austria, funded by the Ernst Mach Grant – ASEA-UNINET (Full PhD category). This scholarship, awarded by the OeAD, offers comprehensive funding for a full 36-month doctoral program for postgraduate candidates under 35.

The successful applicant will join a dynamic research group focusing on state-of-the-art methods, with potential topics including Iterative Synthesis and Characterization (closed-loop computational design with experimental validation), Explainable AI in Chemistry (machine learning for material properties and reactivity), Materials Design (quantum mechanical techniques for sustainable technologies like CO2 catalysts, solar cells, and batteries), and Digitalization for Smart Laboratories (robotic platforms and digital twins for automated processes). Candidates will benefit from co-supervision by Ass. Prof. Dr. Aleksandar Kondinski and a senior professor, within TU Graz’s Fields of Expertise in Advanced Materials Science and Information, Communication & Computing, enhancing networking and employability.

Given the interdisciplinary focus, candidates with backgrounds in chemistry, physics, computer science, or related disciplines are highly encouraged to apply.

The application is a two-step process: First, contact Ass. Prof. Dr. Aleksandar Kondinski at kondinski@tugraz.at with your CV and motivation letter to be considered for supervision and obtain a formal Letter of Acceptance. Then, proceed with the official grant application to the OeAD by the deadline of March 1, 2026.

Application Details:

  • Eligibility: Thai nationals under 35, postgraduates pursuing a full PhD; must not have primarily studied in Austria.
  • More on research group and publications: https://chemin.at/
  • Official scholarship details: Consult the OeAD program page for full benefits and requirements.

Photo credit: Partial image from https://chemin.at/