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

14 Mar 2024
Job Information

Organisation/Company

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH

Research Field

Mathematics » Statistics
Computer science

Researcher Profile

First Stage Researcher (R1)

Country

Spain

Application Deadline

1 Apr 2024 - 23:00 (Europe/Madrid)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

37,5

Offer Starting Date

1 Apr 2024

Is the job funded through the EU Research Framework Programme?

European Union / Next Generation EU

Reference Number

574-707

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Mission:

Carry out the research tasks of a new and specific project in the field of assignment.

Functions to be developed:

• Conduct a comprehensive review of existing literature on synthetic data generation, statistical properties, and evaluation metrics to establish a sound theoretical foundation for research.
• Create a robust framework for comparing synthetic data with real-world data (especially from the energy field), leveraging statistical techniques such as hypothesis testing, clustering, and regression analysis to quantify the degree of similarity and identify areas of discrepancy.
• Design and develop a set of novel metrics to assess the quality of synthetic data, taking into account key statistical properties such as statistical distribution characteristics, variance, and correlations between variables.
• Implement the methodology developed in software tools or algorithms, ensuring usability and accessibility for researchers and professionals working with synthetic data in various domains.
• Validate the framework and metrics developed using real-world datasets and case studies, particularly in the energy domain, demonstrating their effectiveness in improving the accuracy and reliability of decision-making processes when using synthetic data in predictive modeling and statistical analysis.

Requirements

Research Field

Mathematics » Statistics

Education Level

Master Degree or equivalent

Research Field

Computer science

Education Level

Master Degree or equivalent

Skills/Qualifications

Technical Competencies:

• R statistical software.
• Python.

Organizational Skills:

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

Functional Competencies:

• Communication skills.

Specific Requirements

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.

Languages

CATALAN

Level

Basic

Languages

ENGLISH

Level

Good

Languages

SPANISH

Level

Good

Research Field

Mathematics » StatisticsComputer science

Years of Research Experience

1 - 4

Additional Information
Benefits

• 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.

Eligibility criteria

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.

Selection process

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.

Work Location(s)

Number of offers available

1

Company/Institute

Department of Automatic Control (ESAII)

Country

Spain

State/Province

Barcelona

City

Barcelona

Postal Code

08034

Street

Jordi Girona, 1-3

Geofield

Where to apply

Website

https://seuelectronica.upc.edu/ca/Tramits/Convocatoria_incorporacio_personal_in…

Contact

State/Province

Barcelona

City

Barcelona

Website

https://www.upc.edu/

Street

Av. Diagonal, 647

Postal Code

08028

E-Mail

[email protected]

STATUS: EXPIRED