The Ontology Engineering Group is at the top-ten of research groups at Universidad Politécnica de Madrid (UPM). It is based on the School of Computer Science at UPM. Its research areas cover Ontological Engineering, Semantic Web and Linked Data, Semantics in Open Science, and Data-Driven Language Technologies. We have developed applications in a wide range of domains, including knowledge management, environment, e-commerce, job market, funding, geospatial, libraries, etc.

The OEG offers a position as Researcher in machine learning and natural language. Deadline 15-02-2024

BASIC INFO

PROJECT: ProCure

100% EU FINANCING/TRANSFORMATION PLAN, RECOVERY AND RESILIENCE Yes

TITLE OF THE POSITION: Researcher in machine learning and natural language.

NUMBER OF POSITIONS AVAILABLE: 1

CATEGORY: First Stage Researcher (R1)

DEPARTMENT: Artificial Intelligence (D460)

WORK LOCATIONS: C/Ciruelos 2 - 28660 Boadilla del Monte (Madrid)

HIRING INFO

WORK TECHNOLOGY AREA : V-06 Artificial Inteligence

RESEARCH FIELD: Computer science - Other

OFFER DESCRIPTION:

• Line of research: Data Science and Natural Language Processing
• Tasks: Participation in Comparative Study on Health Systems
• Data Collection and Analysis
• Observational Study on the European Health and Procurement Environment
• Development of a Digital Statistical Tool

JOB STATUS: Full time

HOURS PER WEEK: 37,5

AVAILABILITY TO TRAVEL: yes

SALARY OFFERED: 31.126,65€

APPLICATION DEADLINE: 15-02-2024

ESTIMATED DATE OF JOB CONTRACT: 01-03-2024

TERM OF CONTRACT: Until 31-05-2025

IS THE JOB FUNDED THROUGH A EU RESEARCH FRAMEWORK PROGRAMME?: HE/EIT

Science4Refugees: No

APPLICATION

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CONTACT PERSON: OEG Staff

Website: .

REQUIREMENTS

REQUIRED EDUCATION LEVEL:

• Main Research field: Computer sciences (Level: Grade)
• Main Research field: Computer sciences (Level: Master)

SKILLS/QUALIFICATIONS:

• Experience in research and data analysis: Skills in qualitative and quantitative data collection, analysis and synthesis. Experience in handling large data sets and familiarity with statistical techniques and data analysis tools.
• Health System and Public Procurement Knowledge: Understanding of the functioning of health systems and public procurement, including political, economic and governance aspects.
• Competence in Information Technology and Digital Tools: Familiarity with online research tools, databases, and data analysis software. Also skills in working with artificial intelligence tools for data collection.
• Communication and Documentation Skills: Ability to communicate findings clearly to a diverse audience, as well as to document methods and processes effectively.

SPECIFIC REQUIREMENTS:

• The workplace is in Boadilla del Monte (Madrid).
• Experience in Data Science and Statistical Analysis: You must have solid skills in data science, including the handling and statistical analysis of large data sets. This implies knowledge of descriptive and inferential statistics.
• Knowledge in Natural Language Processing (NLP): As you will be working with questionnaires written in natural language, experience in NLP is essential to extract and process relevant information from the texts.
• Programming and Database Management Skills: You should have proficiency in programming languages such as Python or R, and experience in database management, both SQL and NoSQL.
• Experience in Dashboard Development and Data Visualisation Tools: Ability to design and develop interactive dashboards, ideally with experience in tools such as Kibana (which integrates with Elasticsearch), Tableau, or similar.

REQUIRED LANGUAGES:

Language 1: English

• Reading level: Medium
• Writing level: Medium
• Conversation level: Medium

Language 2: Spanish

• Reading level: High
• Writing level: High
• Conversation level: High

REQUIRED RESEARCH EXPERIENCE

• Research field: Computer sciences-Others (MINIMUM YEARS OF EXPERIENCE REQUIRED: 1-4)

Others: Ontology Engineering Group

Deathline for curriculum vitae admission: February, 15 at 23:59.