Open positions

15 PhD positions in the Horizon Europe MSCA Doctoral Network guideSkin

guideSkin is an EU-funded MSCA Industrial Doctoral offering 15 fully funded PhD positions at the cutting edge of cutaneous drug development. Brining together six European universities with leading pharma manufacturers and technology-driven SMEs, the research and training programme will transform how dermal medicines and generics are developed, evaluated and approved in line with the new EMA Guidelien on Quality and Equivalence of Cutaneous Products. The guideSkin Doctoral Candidates will benefit from extended industrial secondments, hands-on work in advanced research facilities, interdisciplinary coursework and dedicated transferable-skills training.

What guideSkin will offer
Eligibility criteria
  • Supported researchers: Applicants must be doctoral candidates, i.e. not already in possession of a doctoral degree at the date of the recruitment. Researchers who have successfully defended their PhD thesis but not yet received their degree are not considered eligible.
  • Mobility Rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before their recruitment date.
  • Local requirements: Applicants must fulfil the local requirements of the recruiting institutions listed in the project descriptions below.

Open positions

  • Development of a framework for rheological assessment of semisolids that is predictive of its performance

  • Thermodynamic modelling of skin hydration and transdermal permeation

University of Surrey (UOS), School of Chemistry and Chemical Engineering, United Kingdom

  • Physiologically Based Pharmacokinetic (PBPK) modelling of critical formulation attributes affecting skin penetration and performance

University of Surrey (UOS), School of Chemistry and Chemical Engineering, United Kingdom

  • Extension of quantification of topically applied materials by in vivo CRS from Stratum Corneum to deeper skin layers

  • AI-enabled E2E workflow as a ‘digital-twin’ enabling non-AI experts to predict formulation performance

University of Surrey (UOS), School of Chemistry and Chemical Engineering, United Kingdom