Researcher for Line of Solutions with Storage Systems in SW Generation

Location: Donostia (Spain)
Working day: Full time
Vacancies: 1

CIDETEC

Would you like to build the future? Join CIDETEC! CIDETEC is a technology centre that brings together three leading international centres in the fields of Energy Storage, Surface Engineering and Nanomedicine. For more than 25 years, we have been working with leading companies to develop technology that makes the world a better place.

A cutting-edge, diverse and international centre awaits you!

Job description

CIDETEC is looking for a researcher to join its staff in the Storage Systems Unit to work on activities related to the generation of SW for laboratory management as well as the exploitation of data in the cloud of the different storage systems based on artificial intelligence algorithms or others.

Responsibilities:

The researcher will join the Storage Systems Unit, working on training and/or company transfer projects in the Strategic Line of the Storage Systems Unit concerning data control and exploitation SW. They must be capable of carrying out several lines of research simultaneously, optimising resources and maximising results.

They will join a team led by a line manager, working independently according to a defined work plan involving both technical and managerial activities. Their work will mainly focus on the following:

Creating tools for the management of laboratories and technical testing.
Optimising technical and material resources.
Working on the connected battery and cloud data exploitation work stream.
Working on the development of new algorithms for the BMS (Battery Management System) control SW.

They will also be involved in:

Generating new ideas/concepts and putting them into practice.
Drawing up technical documentation.
Drawing up technical documentation connected with seeking funding.

Requirements

Education:

Engineering with a specialisation in IT/Telecommunications.
Master's degree or doctoral thesis in the field of artificial intelligence or software engineering.

Languages:

Fluent spoken and written English.

Knowledge:

The successful candidate must demonstrate solid knowledge in:

Relational (SQL) and non-relational databases (MongoDB, FireBase, etc.)
Sound knowledge of design patterns.
Knowledge of data infrastructures and cloud services.
Experience in managing and generating quality code based on code quality criteria.
Experience in the use of version management tools (Git, SVN, etc.).
Knowledge of Machine Learning and AI algorithms.
Experience of participating in large and modular projects
Knowledge of Machine Learning and AI algorithms.

Observations:

We are seeking a highly motivated person with an interest in research and innovation to join a multi-disciplinary team. They must be able to organise their work and meet deadlines and targets.

Having undertaken a placement abroad and more than 3 years’ work experience will be considered a plus.

Job closed

Location: Donostia (Spain)
Working day: Full time
Vacancies: 1

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