University of the Basque Country
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PhD in In-silico Reconstruction of Solid-Liquid and Solid-Solid Electrochemical Interfaces at the Nanoscale Basque Center for Applied Mathematics in Spain
Degree Level
PhD
Field of study
Computer Science
Funding
Funded for 36 months under the MSCA Doctoral Network (Horizon Europe). Salary includes a living allowance with country correction coefficient, a mobility allowance of €710/month, and, if applicable, a family allowance of €660/month. Social Security coverage, training, networking, secondment opportunities, and career development support are included. Skilled workers who have not been fiscal residents in Spain for the last 5 years may benefit from a 30% tax exemption in Bizkaia for up to 10 years.
Deadline
Sep 20, 2026
Country
Spain
University
University of the Basque Country
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About this position
BCAM (Basque Center for Applied Mathematics) is recruiting a PhD student for the MSCA Doctoral Network e-ChemIn (DC5): In-silico reconstruction of solid-liquid and solid-solid electrochemical interfaces at the nanoscale. The position is based in Bilbao, Spain, with PhD enrolment at the University of the Basque Country (EHU) and research activities carried out at BCAM.
The project sits at the intersection of Physics, Chemistry, Computer Science, and Materials Science, focusing on inverse modelling, optimization, atomistic simulations, Bayesian sampling, and open-source code development. The research aims to reconstruct complex electrochemical interfaces using spectroscopy and microscopy data (including XPS, SAX, SXRD, EELS, TEM, and NMR) to study energy storage and conversion devices such as Na-ion batteries and catalytic systems for water oxidation.
Supervision is led by Elena Akhmatskaya (BCAM) with co-supervision by Amaia Saracibar (EHU), and advisory support from M.R. Bonilla (BCAM). Secondment supervisors include S. Dvinskikh (KTH Royal Institute of Technology) and J. Carrasco (CIC energiGUNE), with planned secondments at Leibniz Institute for New Materials, CIC energiGUNE, and KTH.
Eligibility requires that applicants do not already hold a doctoral degree and have not spent more than 12 months in Spain during the 36 months before recruitment. A master’s degree or equivalent in Applied Mathematics, Physics, Computational Chemistry, or a closely related field is required. Strong English skills are mandatory; experience with Molecular Dynamics, Monte Carlo methods, free energy methods, Bayesian inference, data science, machine learning, and programming in C++, Python, and/or Julia is highly desirable.
The position is fully funded for 36 months under the MSCA Doctoral Network. Funding includes a living allowance, a mobility allowance of €710/month, and, where applicable, a family allowance of €660/month, plus social security coverage, training, networking, and career development support.
Deadline: 2026-09-20. Apply via the BCAM job portal with a CV, motivation letter, copies of academic degrees, and contact details for three referees.
Funding details
Funded for 36 months under the MSCA Doctoral Network (Horizon Europe). Salary includes a living allowance with country correction coefficient, a mobility allowance of €710/month, and, if applicable, a family allowance of €660/month. Social Security coverage, training, networking, secondment opportunities, and career development support are included. Skilled workers who have not been fiscal residents in Spain for the last 5 years may benefit from a 30% tax exemption in Bizkaia for up to 10 years.
What's required
Applicants must not already hold a doctoral degree at recruitment and must not have resided or carried out their main activity in Spain for more than 12 months in the 36 months immediately before recruitment. A master’s degree or equivalent in Applied Mathematics, Physics, Computational Chemistry, or a closely related discipline is required. Excellent English communication and writing skills are mandatory. Desired experience includes atomistic or particle simulation methods (Molecular Dynamics, Monte Carlo schemes, free energy methods), Bayesian inference, data science, machine learning, and scientific computing in C++, Python, and/or Julia. Knowledge of electrochemistry and materials science is desirable, and the candidate should work well in an international multidisciplinary team.
How to apply
Prepare a CV with residence and main activity history for the last 3 years, a motivation letter, copies of academic degrees, and contact details of 3 referees. Submit the application through the BCAM job portal before the deadline.
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