Research Collaborator - Algorithms and computational simulations for renewable energies (Open)

The project aims to develop advanced computational approaches to understand and rationally design catalysts for the sustainable hydrogenation of CO₂. The research will focus on molecular-level simulations of catalytic active sites, using cluster models and quantum-chemical methods to characterize electronic structure, adsorption, reaction intermediates, transition states, and competing reaction pathways. DFT will be combined, where appropriate, with higher-level and multireference methods.

The project will also explore quantum computing and hybrid HPC–QPU workflows for molecular simulations, developing and benchmarking variational quantum algorithms for electronically challenging catalytic systems.

We seek a highly motivated researcher with a PhD in theoretical/computational chemistry, physics, materials science, or a related field. Experience in electronic-structure theory, computational chemistry, scientific programming, or HPC is desirable. Background in quantum computing and quantum algorithms would be an advantage.

PhD in theoretical/computational chemistry, physics, materials science, or a related field, with experience in electronic-structure theory and molecular simulations. Strong skills in quantum chemistry and scientific programming are desirable, particularly experience with DFT, wave-function methods, reaction mechanisms, or HPC. Knowledge of quantum computing and quantum algorithms, as well as an interest in interdisciplinary research, would be an advantage.

• Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
• Target start date: 2026/10/01

We provide a highly stimulating research environment, and unique professional career development opportunities.

We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

This project is in collaboration with several research groups from institutions within the Basque Country: Tecnalia, BCAM, Tekniker, Mondragon University and the University of the Basque Country (EHU).

Interested candidates should submit an updated CV and a brief statement of interest to the following application email below. 

Reference letters are welcome but not indispensable.

The reference of the specific opening to which the candidate is applying should be stated in the subject line, and the application must be received before the application deadline.

Although candidates are welcome to contact the project supervisors to know further details about the proposed research activity, please be aware that the application will be evaluated only if it is submitted directly to the email address listed below as application email.

• Reference: 2026/44
• Application deadline: 2026/09/23
• Application email: jobs.research@dipc.org

Applications received by the deadline will be evaluated by a Committee designed by the DIPC board on the basis of the following criteria:

• CV of the candidate (40%)
• Adequacy of the candidate’s scientific background to the project (40%)
• Reference letters (10%)
• Other: Diversity in gender, race, nationality, etc. (10%)

Evaluation results will be communicated to the candidates soon after. Positions will only be filled if qualified candidates are found.

The DIPC may revoke its decision if the candidate fails to join by the appointed time, in which case the position will be awarded to the candidate with the next highest score, provided it is above 50 (out of 100).

However, the selected candidate may keep the position if, in the opinion of the Selection Committee, the candidate duly justifies the reasons why he or she cannot join before the specified deadline, and as long as the project allows it.

Proyecto financiado por el Departamento de Industria, Transición Energética y Sostenibilidad del Gobierno Vasco — Programa ELKARTEK 2026 (KK-2026/00060