Fully funded four-year PhD fellowship at the Swart Lab

PhD fellowship available: I'm looking for good students with an interest in theoretical chemistry and/or (bio)inorganic chemistry.
The fellowship is related to the "Correlating functionality (CorrFun)" project (PID2020-114548GB-I00, Sep. 2021-Sep. 2024) from the Ministerio de Ciencia e Innovación (MCI). The official recruitment will be done through the formal procedures at the Agencia Estatal de Investigación (AEI) , but I will be pre-screening candidates until the end of September 2021.

Documents needed for formal procedures AEI: copy passport, CV, BSc and MSc certificate (in English/Spanish)
Somewhere in Oct/Nov 2021, with final results expected for Apr/May 2022

  • Admitted, registered or pre-registered for the Doctoral Programme in Chemistry of the Univ. Girona (UdG)
  • The UdG grad school access requirements:
    • Having finished a relevant Master (60 or 120 ECTS credits)
    • Automatic for Master studies in Spain, semi-automatic for EU countries, translation/accreditation may be needed for outside EU countries
  • Incompatible with having received a PhD fellowship from MCI previously, being in possession of a PhD already, or having enjoyed previously a PhD contract for 12 months or longer
  • Swart Lab requirement: Master study must be in computational chemistry and catalysis (or related subject in Chemistry)
  • Fully funded 4 year FPI fellowship in dynamic international research group
  • Co-supervision by Prof. Gruden (Univ. Belgrade)
  • Collaboration is foreseen with experimental research groups (Europe and USA)
  • Travel grant (ca. 4500 EUR) for 3-4 month research visit to relevant international research group
  • Grad school fees covered by the fellowship
  • Early starting date (Jan. 1, 2022) possible (pre-fellowship funding)
Research topics
  • Computational transition-metal chemistry (catalysis, DFT validation and DFTB development)
  • Chemical bonding analyses
  • Oxidation chemistry (HAT, OAT) with Co, Ni, Fe, Cr, Mn, Cu complexes
  • Density functional development
  • Nanomaterials
Candidate pre-screening
If interested in applying for the fellowship, send a mail to marcel.swart at icrea.cat with the following documents before Oct. 1, 2021:
  • Motivation letter
  • Short CV, preferably including ORCID and/or Scopus ID
  • MSc certificate with grades
  • BSc certificate with grades
Transition state Spin density Highest occupied MO UV-vis absorption spectra

Summary CorrFun project

Chemistry can (or should) be defined as the discipline of transformation, where molecules meet, interact and then depart completely reshaped; these processes can be enhanced or made more selective through the implication of (transition) metals. The first-row transition metals (Sc-Cu) play a special role in this, in the sense that they are earth-abundant (allowing for sustainable, or green, catalysis), and in general show a larger sensitivity to how the electrons are distributed over the d-orbitals than the corresponding transition-metals in higher rows of the Periodic Table. Correlating experimental observations (that these transition-metals induce) with the molecular structure can be facilitated by computational chemistry, provided that sufficiently accurate methods are used. This is in particular true for spin and oxidation states of these transition-metals, for which density functionals have been developed in the Swart lab. Recently, a modification of the correlation part of the exchange-correlation energy was explored, which in preliminary results shows very promising progress towards an universal density functional. Within this project, these ideas for a new correlation functional will be further explored, and used as input to create a DFTB parameterization for first-row transition metals. These new computational tools will be applied to a range of systems in collaboration with experimental labs, to study the mechanisms of oxidation reactions, the effect of the ligand and/or oxidation state on them, and how new nanomaterials can be constructed. We will be carrying out computational chemistry experiments to characterize intermediates and transition structures, to determine the most favorable reaction path. An important role in these characterizations is played by computational spectroscopy (IR, Raman, EPR, Mössbauer, NMR, XAS), which allows for direct comparison with experimental spectra, and hence the confirmation (or negation) of the species involved in the reactions. This project is therefore providing new computational tools, and new chemical insights from which many research groups in the field will benefit.