Bridging regulatory science and innovation
for dermal therapies
A Marie Skłodowska-Curie Industrial Doctoral Network training 15 doctoral candidates at the interface of pharmaceutical science, artificial intelligence and regulatory innovation.
guideSkin is a European Industrial Doctorate focused on transforming the development, evaluation and regulatory approval of dermal medicines.
Recent regulatory changes in Europe are reshaping how skin therapies are assessed, requiring advanced scientific methods, digital tools and interdisciplinary expertise. However, these capabilities are not yet widely established across academia, industry or regulatory bodies.
guideSkin addresses this gap by combining pharmaceutical science, advanced analytics and artificial intelligence to develop new frameworks, tools and approaches for dermal product development. At the same time, the project trains a new generation of researchers capable of bridging science, technology and regulation.
doctoral candidates
Universities
Industry partners
budget
Research areas
Doctoral projects are organised across three main research areas:
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Formulation quality and equivalence
Understanding how composition and structure influence product performance and regulatory compliance.
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Skin penetration and predictive modelling
Advancing experimental and computational methods to predict how drugs interact with the skin.
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Innovative dermal therapies
Developing new evaluation frameworks for advanced formulations such as microneedles and nano-enabled systems
The industrial doctoral programme
guideSkin offers 15 fully funded doctoral positions within a unique Industrial Doctoral Network.
Doctoral candidates will be employed by leading European universities and work closely with industry partners through long-term secondments. Each candidate will develop an individual research project while benefiting from a structured, interdisciplinary training programme.
Application process to open soon.
The programme combines:
- Scientific training in dermal formulation and skin science
- Advanced skills in AI, modelling and data analysis
- Hands-on experience in industry and regulatory environments
- Transferable skills in communication, innovation and career development


















