SHORT DESCRIPTION

A position supporting development of autonomous materials research laboratory


OTHER DETAILS

Ref. num. Ayudante_de_Investigacion_MH_01

Research assistant in autonomous and data-driven materials discovery


IMDEA Materials Institute is a public research organization founded in 2007 by Madrid’s regional government to carry out research of excellence in Material Science and Engineering by attracting talent from all over the world to work in an international and multidisciplinary environment. IMDEA Materials has grown rapidly since its foundation and currently includes more than 120 researchers from 22 nationalities and has become one of the leading research centers in materials in Europe which has received the María de Maeztu seal of excellence from the Spanish government. The research activities have been focused on the areas of materials for transport, energy, and health care and the Institute has state-of-the-art facilities for processing, characterization and simulation of advanced materials. More information can be found at https://materials.imdea.org/

DESCRIPTION

IMDEA's Computational and Data-driven Materials Discovery Group is looking to fill a research assistant position. The successful candidate will be involved in the development of algorithms and software tools that will drive an autonomous laboratory equipped with collaborative robots.

The successful candidate will gain experience in machine learning, material informatics, collaborative robots etc.

Additionally, the researchers will join regular training activities on transferable skills organized by the Project Management Office at IMDEA in project management, leadership, funding search, grant writing, intellectual property, and science communication to specialized and non-specialized audiences.


REQUIREMENTS

A degree in material science, chemistry, physics, computer science, applied mathematics, electric engineering or a related field.
Working knowledge of at least one programming language as well as experience with at least one family of statistical machine learning methods.
Fluent in English.
Previous research experience and/or experience with robots/microcontrollers/3D printers is a plus.


Candidates must be:

  • Be over 16 years of age and under 30 years of age.
  • Be registered as an unemployed job seeker in one of the employment offices of the Community of Madrid.

The curriculum assessment will be carried out using the blind curriculum vitae procedure, ensuring the principle of non-discrimination. Candidates must ONLY submit their CV (in English) following precisely these indications:

  • It must not include any personal data except (1) initials of their first and last name(s), (2) year of birth, (3) DNI/NIE number, (4) telephone number and (5) e-mail address that does not contain the first name, surname or any other personal data.
  • It must not contain a photograph.

Candidatures that do not comply with this requirement will not be considered.

CONDITIONS

This contract will be funded by the Call for grants for implementing the INVESTIGO programme within the framework of the Recovery, Transformation and Resilience Plan - funded by the European Union - NextGenerationEU.

Este contrato estará financiado mediante la Convocatoria de subvenciones para la realización del programa INVESTIGO, en el marco del plan de recuperación, transformación y resiliencia – financiado por la Unión Europea – NextGenerationEU.

ADDITIONAL INFORMATION

The working language of the Institute is English. Full command of the English language is required in all positions.

IMDEA Materials Institute is committed to equal opportunities, diversity and the promotion of a healthy work environment and work-life balance. Female applicants are encouraged to apply to our research and technical positions. See our Gender Equality Plan here.

Applications are processed upon reception. The position might be closed once the minimum publication days have passed, so we encourage early application.

Besides on-the-job technical training, IMDEA Materials Institute is committed to training the Institute’s scientists and staff in “soft” or transversal skills. See the available training here.

Meet some of our alumni.