Researcher in Training for the statistical validation of synthetic data sets. 574-707

Technical Competencies:

• R statistical software.
• Python.

Organizational Skills:

• Task prioritization.
• Teamwork.
• Writing of scientific documentation.

Functional Competencies:

• Communication skills.

Educational requirements:

• Machine learning.
• Statistical methods.
• Statistical Inference.
• It will be assessed:
  • Master's degree in a relevant field (Statistics, Artificial Intelligence, Data Science, or similar).

Professional experience:

• Experience in functions similar to those described, specifically in the development of research activities, both in the university and industrial environment, will be valued.

• First and second year of contract: remuneration equivalent to 56% of the salary set for Group I of labor personnel of the salary table of the corresponding year collected in the IV Single Agreement of labor personnel of the General Administration of the State .
• Third year of contract: remuneration equivalent to 60% of the salary set for Group I of labor personnel of the corresponding year's salary table collected in the IV Single Agreement of labor personnel of the General Administration of the State.
• Fourth year of contract: remuneration equivalent to 75% of the salary set for Group I of labor personnel of the corresponding year's salary table collected in the IV Single Agreement of labor personnel of the General Administration of the State.

All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.

The CVs will be assessed according the following general criteria:

• The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
• Threshold: 5 points.
• The maximum score (10 points) will be distributed as follows:
  • 1 point for required speciality.
  • 2 points for required academic training.
  • 2 points for technic competences.
  • 1 point for organisational competences.
  • 3 points for professional experience.
  • 1 point for any aspect of the candidate’s professional profile to be determined as specially relevant by the Selection committee.

If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.

The interview will be assessed according the following criteria:

• Maximum scoring: 5 points.
• Threshold: 3 points.
• The maximum score will be distributed according the following criteria:
  • 2 points for adequacy to functional competences of the job.
  • 2 points for adequacy of professional experience.
  • 1 point for any aspect of the candidate’s professional profile to be determined as especially relevant by the Selection committee.

The eligible candidates will be ranked from highest to lowest score, being this the selection criteria.

The planned selection process is as follows:

• Those interested must access the website where the university publishes all the offers: https://rdi.upc.edu/ca/uaslr/vols-dedicar-te-a-la-recerca/ofertes-predoctorals/convocatories-especifiques-upc/convocatories-predoctorals-obertes, select the offer that is of interest to you, click on: https://seuelectronica.upc.edu/ca/Tramits/Convocatoria_incorporacio_personal_investigador_formacio_predoctorals, fill in the form and add the additional documentation indicated.
• The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
• Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
• Finally, the name of the person selected will be published on the same website where the offer is published.