The Institute for Research in Technology (IIT) of the Universidad Pontificia Comillas has a continuous open call for positions of Researcher Trainees.
The training offered involves active participation in R&D projects, under the supervision of a professor or researcher at the University. These projects are for the leading companies in the energy and industrial sectors. Therefore, these companies provide the necessary funding for the research activity and IIT graduate training.
To be able to join the IIT it is necessary to be able to access the doctoral program, so it is necessary to be in possession of an official Master's degree.
The Researcher in Formation will enter formally in the Doctorate Program of the Pontifical University Comillas, existing two modalities as predoctoral researcher:
In the IIT we are looking for people who have recently successfully completed their studies on engineering (industrial, organization, computers, electronics, etc.) but also in related disciplines such as science, mathematics or physics. We greatly value that candidates have a good academic curriculum, eager to confront problems requiring new solutions, ability to work in teams and feel the need of advanced training, without losing the connection to the real world.
If you are interested in applying for a position at the IIT please fill in this form. If your profile is suitable we will contact you for a personal interview. It is mandatory to attach your CV and academic records.
We value the knowledge of the research areas at the IIT, a very good command of written and spoken English, and knowledge of programming languages.
Medium-term electricity generation/transmission model for the Mexican electric energy system (Reference 17001)
Development of a medium-term electricity generation model for the Mexican electric energy system able to represent the transmission network. The model is to be used to forecast nodal electricity prices.
Requirements: The prospective candidate has a master’s degree or is in the process of finishing up the master. Knowledge of modeling, optimization and GAMS is preferable but no required.
Full-time position with a shared commitment among the doctoral thesis and research projects.