TACsy (Training Alliance for Computational Systems Chemistry) is a Marie-Skłodowska-Curie Joint Doctoral Network combining computer science and systems chemistry that consists of 15 highly interlinked PhD projects. The project will officially begin on 1 March 2023, and will run for 4 years.

TACsy aims to

  • Advance the field of CSC by making it more general, increasing its computational efficiency and refining its molecular and atomic precision.
  • Expand the domain of applications of our new methodology to at least three novel areas represented by our three flagship application areas: CO2 recycling, enzymatic synthesis design and lipidomics.
  • Train a next generation of scientists in the methods of CSC.
  • Seed a long-term graduation program dedicated to CSC.
  • Transfer the methods, knowledge, and competences of CSC to industry.

Each of the 15 projects has its own blend of subjects and skill requirements on the line between computer science and chemistry. The consortium behind TACsy consists of world-class scientists with competences spanning computer science, chemistry, biochemistry and machine learning. All doctoral candidates will work with at least two research groups and will in addition do research stays either at world-leading industry partners or at non-European academic partners.