Early-stage researcher in data management. 150

Offer Description

Mission:

This position will be focusing on will be focusing on enabling end users to interact with the data analytics system and express their intents (preferences, constraints, interpretations, explanations, implicit or explicit feedback, etc.) in an intuitive manner using the domain and contextual information expressed in a domain specific modeling language (DSML), based on a knowledge graph. As a result, the aim is to develop an initial version of the intuitive graphical interface, following Human-Computer Interaction (HCI) best practices. In addition, the goal is to create intuitive visualisations of the domain knowledge (data variables and their relationships, as well as the derived features), and enable user-assisted elicitation of the user intents, as well as their anticipation through the statistical model.

Functions:
Research in the field of big data management, knowledge graphs and machine learning and with the focus on capturing and anticipating user analytical intents.
Development of the supporting software components and prototypes.
Performing exhaustive experimentation over the created prototype and disseminating the research and innovation results.
Requirements

Research Field Computer science Education Level Bachelor Degree or equivalent

Skills/Qualifications

Technical Competencies:
Python.
Java.
JavaScript.
Knowledge graphs, SPARQL.
Relational and non-relational databases.
Python libraries: Scikit-learn, AutoML.
Organizational Skills:
Work independently.
Teamwork.
Functional Competencies:
Communication skills.
Specific Requirements

Educational requirements:
Data processing and data science.
Big Data management.
Machine Learning.
Distributed systems.
Knowledge graphs.
Relational and non-relational databases.
Fundamentals of software architectures.
It will be assessed:
Having completed a masters degree.
Professional experience:
Software development.
Development of ML pipelines.
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 ENGLISH Level Good

Languages CATALAN Level Basic

Languages SPANISH Level Good

Research Field Computer science Years of Research Experience 1 - 4

Internal Application form(s) needed

Res. 3530-91 de 6 doctubre de 2023_copia_autentica_2.pdf

English

(270.99 KB - PDF)

Fitxa 150-747-069.pdf

English

(235.47 KB - PDF)

Additional Information

Benefits

€35,925.08 gross/year (per full day)

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 candidates 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 candidates 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:
, select the offer that is of interest to you, click on: , 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 Service and Information System Engineering (ESSI) Country Spain State/Province Barcelona City Barcelona Postal Code 08034 Street Jordi Girona, 1-3, Building Ω (Omega)

Where to apply Website

Contact State/Province

Barcelona City

Barcelona Website

Street

Jordi Girona, 1-3 Postal Code

08034 E-Mail

lourdes.moreno@upc.edu

STATUS: EXPIRED
EURAXESS

Fecha de publicación: 11/10/2023