PhD Position in AI-Driven Drug Discovery and Computational Chemistry
PhD position in
AI-driven drug discovery
at the
CODDIA lab
, University of West Attica, in collaboration with
Johnson & Johnson
.
The project focuses on building next-generation AI tools for drug discovery, including
generative models
for molecular design,
multi-parameter optimization
,
co-folding
as a bridge between sequence, structure, and chemistry,
physics-based methods
, and practical applications such as
allosteric pocket identification
, synthesis-aware design, and molecular optimization.
This opportunity is especially relevant for students interested in the intersection of
machine learning
,
computational chemistry
,
cheminformatics
, and real-world pharmaceutical research.
Eligibility:
Bachelor’s degree in Chemistry, Biology, Pharmaceutical Sciences, Engineering, or a related field; MSc in computational biology, computational chemistry, computational biophysics, bioinformatics, drug discovery, or a similar area; excellent spoken and written English; comfort with Python; curiosity and willingness to learn across ML, chemistry, and drug discovery.
Funding:
funded 36-month PhD position.
Location:
Athens, Greece.
Application deadline:
15 September 2026.
How to apply:
email your CV, a brief statement of motivation and research interests, and the names of two references to
[email protected]
.
