Pre-doctoral Researcher in Quantum computing joining density-functional theory (SIESTA) with Quantum solvers (QISKIT)

About this position

The aim of the project is to contribute to the method development for the calculations invoking SIESTA and IBM's QISKIT for the use of quantum computing to solve on the correlated electrons described in an active space while embedded in a larger system described with density-functional theory. It involves setting up embedding techniques and coding them in a framework in which SIESTA is called for the non-correlated part and various quantum solvers coded in QISKIT are called for the highly-correlated electrons. IBM's quantum computers will be used in conjunction with conventional high-performance supercomputers to solve selected problems in condensed matter physics, nano and biophysics.

The project is in collaboration with the research laboratory IBM Quantum at IBM Research in Zürich.

The successful candidate will have a Masters degree (Bologna level or equivalent) in a topic related to condensed matter physics or theoretical chemistry after graduating in physics or chemistry.

Additionally, the candidate should demonstrate experience in the following skills:

• Good grades in Bachelors and Masters degrees in physics, chemistry or close-by subjects including courses on quantum, statistical and solid-state physics.

• Good working knowledge of English, understanding, reading, writing and speaking. Knowledge of Spanish or Basque is not required.

• Experience in programming.

We promote teamwork in a diverse and inclusive environment and welcome all kinds of applicants regardless of age, disability, gender, nationality, race, religion, or sexual orientation.

The position is expected to start in 01/01/2027 and for a total length of up to 48 months (01/01/2027 - 31/12/2030) in the Theory Group.

Candidates should apply by completing the online form and attaching the following documents:

• A complete CV and a certificate of grades of Bachelors and Masters degrees

• A cover letter and a reference letter grouped in a single PDF file

The deadline for applications is 15/11/2026.