Ph.D. Positions: 21007_ Research in advanced predictive models for the energy and industrial sector

Updated: over 2 years ago
Job Type: FullTime
Deadline: 08 Dec 2021

Research in advanced predictive models for the energy and industrial sector

The person will join an IIT work team to participate in projects related to the development of advanced predictive models in the energy and industrial sector. The research projects will be developed in collaboration with one of the main companies in the electricity sector in Spain and other companies in the industrial sector. The objective is to research in the applications of Machine Learning techniques and advanced time series models for forecasting the behavior of electricity markets, physical systems and production processes.

It offers:

Annual full-time contract for the development of projects. Besides, the Research Assistant could take training activities. This modality allows the Research Assistant to establish a very close professional relationship with the companies with which he/she collaborates, thus nourishing his/her research with the experience accumulated during the projects. Although this modality does not necessarily require enrolling in any program, the Research Assistant can apply for a PhD after the first two years. The Research Assistant is hired each year for a maximum period of 6. If he or she is not enrolled in a PhD program the contract cannot exceed two years. The gross salary of the first year is € 24.410 for 2021. In addition, the IIT covers 90% of the cost of training activities and the Research Assistant will have access to all the services offered by the University (Sports, Cultural Activities, Library, etc.).

Requirements:

The candidate must have a master's degree in engineering, physics or mathematics, being especially valuable the knowledge in programing with Matlab, R and Python, statistics and machine learning. Having a good academic report, as well as the candidate’s knowledge on these topics will also be considered in the assessment of candidate merits. Excellent spoken and written Spanish and English.

Documents:

Curriculum vitae, academic record, cover letter and two recommendation letters.



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