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We are Talent

Current job offers

Join our team where you will find a professional environment for the development of innovative projects.

Participate and get additional and complementary values, skills and abilities to those you will acquire in your ordinary studies, and that will help you position yourself as a future professional by fostering your capacity for entrepreneurship, creativity and innovation.

Generic values and abilities to be developed:

Technical skills to be developed: If you want more information about the competencies we work on: https://inlab.fib.upc.edu/talent-inlab

Location: Building B6 Campus Nord. inLab FIB

Initial period: 14 September to 31 December 2026

Workload: 20 hours per week with flexible scheduling

Tasks:

You will take part in the Talent training programme, developing a project in the field of Artificial Intelligence, in the development of an intelligent platform gent platform for cloud operations management, which allows for the autonomous detection, diagnosis and resolution of incidents through the use of artificial intelligence, generative language models (LLMs) and RAG (Retrieval-Augmented Generation) interfaces.

Requirements:

  • Student of GEI, specialising in Computing.
  • To have knowledge of
    • Proficiency in clean, modular and efficient Python (consumption of APIs and data structures).
    • Solid foundations in machine learning and language models (ML/NLP).
    • Familiarity with Linux environments (Bash, process management and log reading).
    • Basic concepts of containers with Docker.
    • Version control with Git.

Positively valued skills:

  • Knowledge of any of the following will be considered an advantage:
    • Deep Learning and LLM libraries (PyTorch, Hugging Face, adaptation/fine-tuning techniques).
    • Kubernetes basics (basic architecture, pods, services, kubectl).
    • Familiarity with observability tools (Prometheus, Loki, Zabbix or Grafana).
    • Development of APIs or tool servers for models (FastAPI, MCP protocols).
    • Processing and cleaning records/logs with Pandas.

Applicactions deadline: Thursday, 10 of September of 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7543 (Scholarship code: 7543)

And submit your application by: 10/09/2026

Generic values and abilities to be developed:

Technical skills to be developed: If you want more information about the competencies we work on: https://inlab.fib.upc.edu/talent-inlab

Location: Building B6 Campus Nord. inLab FIB

Initial period: 14 September to 31 December 2026

Workload: 20 hours per week with flexible scheduling

Tasks:

You will take part in the Talent training programme, developing a project in the field of Knowledge and Service Engineering by creating an application that digitises the token (from the sustainable cup) in order to facilitate its use by students and gamify its application.

Requirements:

  • Student of GEI, specialising in Computing or Software Engineering.
  • To have knowledge of
    • Mobile application development using the Ionic (Angular) framework.
    • In web technologies (HTML) and in the integration of web services and REST API interfaces.
    • To have the capability to manage, connect and integrate databases in software applications.

Positively valued skills:

  • Ability to work as part of a team.

Applicactions deadline: Thursday, 10 of September of 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7535 (Scholarship code: 7535)

And submit your application by: 10/09/2026

Generic values and abilities to be developed:

Technical skills to be developed: If you want more information about the competencies we work on: https://inlab.fib.upc.edu/talent-inlab

Location: Building B6 Campus Nord. inLab FIB

Initial period: 14 September to 31 December 2026

Workload: 20 hours per week with flexible scheduling

Tasks:

You will participate in the Talent training programme, developing a project in the field of Artificial Intelligence: the development of a support tool (based on a company’s ticketing system) to streamline incident resolution and optimise routing to second-level resolution teams. You will work on creating an MVP with the aim of evaluating and defining the scope of the product’s operational workflow.

Requirements:

  • Student of GEI, specialising in Computing or Software Engineering.
  • English at C1 level (Advanced).
  • To have knowledge of
    • A clean, efficient and modular Python domain.
    • Knowledge of computational complexity and writing efficient code in terms of time and memory.
    • Basic principles of machine learning and data processing.
    • Be comfortable with Git version control.

Positively valued skills:

  • Technical expertise and interest in the field of large language models (LLMs) and artificial intelligence technologies.

Applicactions deadline: Thursday, 10 of September of 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7484 (Scholarship code: 7484)

And submit your application by: 10/09/2026

Generic values and abilities to be developed:

Technical skills to be developed: If you want more information about the competencies we work on: https://inlab.fib.upc.edu/talent-inlab

Location: Building B6 Campus Nord. inLab FIB

Initial period: 14 September to 31 December 2026

Workload: 20 hours per week with flexible scheduling

Tasks:

You will participate in the Talent training programme, developing a project in the field of Knowledge and Service Engineering, to work on the SUDOQU (enSUring Data with Ontological QUality) project, a research project funded by the Ministry of Science and Innovation, whose objective is the development of techniques to ensure data quality through the use of ontologies.

Requirements:

  • Student of GEI, specialising in Computing or Software Engineering.
  • English at C1 level (Advanced).

Positively valued skills:

  • Mastery of Java development.
  • Experience in lifecycle management and dependencies with Maven.
  • Knowledge of unit test automation with JUnit and AssertJ.

Applicactions deadline: Thursday, 10 of September of 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7483 (Scholarship code: 7483)

And submit your application by: 10/09/2026

Talent Program

inLab FIB is a professional environment for the development of innovative projects that incorporates training as an objective in its own mission.

This program, directed by Professor Maria Ribera Sancho, associate director of the inLab FIB, aims to achieve, through curricular or extracurricular internships for students, a comprehensive training of the student that complements the one obtained with the regular studies.

  • Teamwork
  • Responsibility
  • Commitment and Involvement
  • Critical attitude
  • Entrepreneurship and Innovation
  • Respect
  • Honesty
  • Autonomous learning
  • Sustainability
  • Social commitment
MENTORED STUDENTS
150
YEARS OF EXPERIENCE
0
CURRENT STUDENTS
0
ARE WOMEN
0 %
TFG/PFC WITHIN TALENT
0

We develop students’ talents

The main objective of the program is that the students who participate achieve additional and complementary values, skills and abilities to those acquired in their studies, boosting the employability of future professionals, fostering their capacity for entrepreneurship, creativity and innovation, and responding to the commitment to economic transformation based on the knowledge society.

Professional environment

The internships will be articulated through specific educational training programs, which can be carried out at inLab and complemented in companies and external entities of national and/or international scope. The location of the workstation and the flexible schedule will make it easier for you to combine your regular studies with this program.

Mentoring

The program will provide students with a professional mentor to assist them in developing their skills and personal growth.

Financial aid for students

The training project will be free of charge for students. It is foreseen to finance the participation of students through additional financial support, e.g. linked to their participation in Research, Development and Innovation projects.

Monitoring and evaluation

There will be an exhaustive follow-up of the student's progress throughout the development of the program and at its completion.

Program duration

Collaboration of up to four semesters, depending on the student's current studies and the specific training program.

Internationalization

The student will be able to develop a part of his or her training in an institution or company abroad included in the program in which he or she is participating. Participation in international mobility programs will be facilitated.

Recognition and accreditation

Students who satisfactorily complete the program will receive, as recognition, a document accrediting their collaboration. Additionally, your participation in the project will be formally recognized in the European Diploma Supplement and, eventually, in the form of credits.

Master's or Bachelor's Degree Final Project

This practical experience can lead to the Final Degree/Master's/Doctorate Project, which can be carried out at inLab or at the headquarters of one of the companies or institutions participating in the program.

Sponsors the Talent program

Program sponsored by

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