Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Institute of Chemical Research of Catalonia
Just Landed
Posted Yesterday
PhD position in AI/Machine Learning for Molecular Dynamics of GPCRs in Neuronal Membranes Institute for Advanced Chemistry of Catalonia in Spain
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Dec 6, 2026
Country
Spain
University
Institute of Chemical Research of Catalonia
Apply for this position
Keywords
Suggested positions
About this position
The Brain Signaling and Neurolipids Lab at the Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) in Barcelona is recruiting a PhD student to work at the interface of molecular simulation, membrane biophysics and machine learning.
The project investigates how the lipid composition of neuronal membranes influences the behaviour of G protein-coupled receptors (GPCRs), a major receptor family involved in neuronal communication and one of the most important drug-target families in the brain. The lab studies this problem using large-scale molecular dynamics simulations, and the doctoral researcher will help develop AI- and machine-learning-based approaches for analysing, sampling and interpreting these data.
The position is embedded in a collaborative research environment with experimental partners in Europe, access to supercomputing resources and data-rich simulation workflows, and opportunities for research stays abroad and first-author publications as part of the training plan. The advert highlights close supervision and hands-on training within a multidisciplinary setting focused on computational neurochemistry and biophysical modelling.
The work is based in Barcelona at IQAC-CSIC, within a scientific environment connected to the Brain Signaling and Neurolipids Lab and its broader theoretical and computational chemistry context.
Funding details
Available
What's required
A master’s degree, or being in the final stage of completing one, in physics, mathematics, chemistry, computer science or a closely related quantitative field is required. An excellent academic record in both the bachelor’s and master’s degrees is expected. Applicants should have demonstrable knowledge of machine learning and deep learning through coursework, a master’s thesis or projects, including practical experience training models. Strong programming skills in Python and experience with PyTorch or a similar deep-learning framework are required. A solid grounding in statistics, linear algebra or statistical physics is needed. Good command of English is required. Experience applying machine learning to scientific or molecular data, such as graph neural networks, variational autoencoders, or generative/latent-space models, is considered a strong asset. No prior background in biology is required.
How to apply
Send your CV, including bachelor’s and master’s grades, a short motivation letter, and the contact details of two referees to [email protected]. Use the email subject line “PhD ML position – Brain Signaling & Neurolipids Lab”. Early expressions of interest are strongly encouraged.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.